1646 Clustering Jobs - Page 47

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Impact Shapes the World at Caterpillar Inc When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary We are seeking a skilled Data Scientist to join Digital Finance-Disruptive Tec - Global Finance Services Division. The incumbent would be Performing analytical tasks and initiatives on huge amount of data to support data-driven business decision and development. The preference for this role is to be based out of Whitefield Office, Bangalore, India What You Will Do Caterpillar uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems. Caterpillar uses quantitative techniques to solve problems. Typical problems include maximizing Operating Profit After Capital Charge through improvements in Inventory Costs, Material Costs, New Product Introduction costs, etc.; determining the principal drivers of health care costs; recommending the optimal supplier for a part; identifying sales, rental, and service opportunities for Caterpillar dealers; and developing simulation/optimization capabilities to model a new facility or product feature. In addition, analytics experts also provide assistance to high-profile enterprise-wide projects such as the Engineered Value Chain. The principal responsibility of the Data Scientist is to be an independent contributor to multi-person analytic teams. This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies suitable to handle all but the most complex issues. This position is expected to be familiar with the company’s processes, products, and organization, as well as its customers, competitors, and stakeholders. Work is typically directed by a direct supervisor, project or team lead through a review of results. Decisions on routine, medium risk issues that may affect the project team, suppliers or internal customers may be made by this position. Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with all project stakeholders. This position demonstrates thorough knowledge of statistical approaches, data management techniques, and/or related digital technologies, and the ability to handle complex issues. The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they should also exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Inc., its products and services; its internal systems, processes, and procedures; and the external environment in which it competes. The responsibilities of the data scientist would involve design, develop, and deploying of predictive models and machine learning algorithms to support business decision-making. Lead data gathering, preprocessing, and transformation efforts from structured and unstructured sources. Collaborate with cross-functional teams to define analytical requirements and deliver insights through dashboards and reports. Develop and maintain scalable data pipelines using tools such as SQL, Snowflake, and Python. Apply Natural Language Processing (NLP), time-series analysis, and anomaly detection techniques to real-world datasets. Contribute to the development of internal Python packages and reusable analytics components What You Will Have Bachelor’s degree, preferably in engineering, finance, statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of professional experience utilizing quantitative analysis OR Master’s degree and 2-3 years of experience OR PhD in one of the associated fields. Top Candidate Will Also Have: 2-4 years’ experience in manipulating data sets and building statistical models Ability to work on increasingly more complex assignments Strong problem-solving skills with an emphasis on product development. Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Knowledge of principles, technologies and algorithms of machine learning (Supervised/unsupervised, clustering, decision tree learning, artificial neural networks, etc.); ability to develop, implement and deliver related systems, products and services. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets Experience working with and creating data architectures Excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques Experience using web services: AWS services, Snowflake, Spark Must be comfortable working in MS Office, and industry standard statistics and data visualization Packages – Power BI/Tableau Additional Information: This position requires the selected candidate to work Full -Time in the Whitefield Bangalore, Karnataka office. This position requires candidate to work a 5-day -a -week schedule in the office Domestic Relocation is available Less than 10% travel is expected Skills Desired: Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Level Working Knowledge: Explains the basic decision process associated with specific statistics. Works with basic statistical functions on a spreadsheet or a calculator. Explains reasons for common statistical errors, misinterpretations, and misrepresentations. Describes characteristics of sample size, normal distributions, and standard deviation. Generates and interprets basic statistical data. Accuracy and Attention to Detail : Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Extensive Experience: Evaluates and makes contributions to best practices. Processes large quantities of detailed information with high levels of accuracy. Productively balances speed and accuracy. Employs techniques for motivating personnel to meet or exceed accuracy goals. Implements a variety of cross-checking approaches and mechanisms. Demonstrates expertise in quality assurance tools, techniques, and standards. Analytical Thinking : Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Working Knowledge: Approaches a situation or problem by defining the problem or issue and determining its significance. Makes a systematic comparison of two or more alternative solutions. Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns. Identifies the major forces, events and people impacting and impacted by the situation at hand. Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Working Knowledge: Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization. Utilizes specific tools and techniques to process descriptive and inferential statistics. Applies specific computing languages and tools in machine learning, such as R and Python. Explores to use machine learning in one own areas to make business improvements. Conducts data mining and cleaning initiatives. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Working Knowledge: Participates in the implementation and support of specialized programming languages. Conducts basic reviews on writing a specific programming language within a specific platform. Assists with the design and development of specialized programming languages. Follows an organization's standards, policies and guidelines for structured programming specifications. Diagnoses and reports minor or routine programming language problems. Query and Database Access Tools : Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Level Working Knowledge: Defines, creates and tests simple queries by using associated command language in a specific environment. Applies appropriate query tools used to connect to the data warehouse. Obtains and analyzes query access path information and query results. Employs tested query statements to retrieve, insert, update and delete information. Works with advanced features and functions including sorting, filtering and making simple calculations. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: Follows policies, practices and standards for determining functional and informational requirements. Confirms deliverables associated with requirements analysis. Communicates with customers and users to elicit and gather client requirements. Participates in the preparation of detailed documentation and requirements. Utilizes specific organizational methods, tools and techniques for requirements analysis.\ What You Will Get: Work Life Harmony Earned and medical leave. Relocation assistance Holistic Development Personal and professional development through Caterpillar ‘s employee resource groups across the globe Career developments opportunities with global prospects Health and Wellness Medical coverage -Medical, life and personal accident coverage Employee mental wellness assistance program Financial Wellness Employee investment plan Pay for performance -Annual incentive Bonus plan. Additional Information: Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers Posting Dates: May 30, 2025 - June 12, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to apply? Join our Talent Community. Show more Show less

India - Hyderabad JOB ID: R-198176 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Oct. 01, 2024 CATEGORY: Information Systems Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. What you will do Let’s do this. Let’s change the world. In this vital role you will identify trends, root causes, and potential improvements in our products and processes, ensuring that patient voices are heard and addressed with utmost precision. As the Sr Associate Data Scientist at Amgen, you will be responsible for developing and deploying basic machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities. Collect, clean, and manage large datasets related to product performance and patient complaints. Ensure data integrity, accuracy, and accessibility for further analysis. Develop and maintain databases and data systems for storing patient complaints and product feedback. Analyze data to identify patterns, trends, and correlations in patient complaints and product issues. Use advanced statistical methods and machine learning techniques to uncover insights and root causes. Develop analytics or predictive models to foresee potential product issues and patient concerns to address customer needs and opportunities. Prepare comprehensive reports and visualizations to communicate findings to key collaborators. Present insights and recommendations to cross-functional teams, including product development, quality assurance, and customer service. Collaborate with regulatory and compliance teams to ensure adherence to healthcare standards and regulations. Find opportunities for product enhancements and process improvements based on data analysis. Work with product complaint teams to implement changes and monitor their impact. Stay abreast of industry trends, emerging technologies, and standard methodologies in data science and healthcare analytics. Evaluate data to support product complaints. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Data Science and with one or more analytic software tools or languages, and data visualization tools experience OR Bachelor’s degree and 3 to 5 years of Data Science and with one or more analytic software tools or languages, and data visualization tools experience OR Diploma and 7 to 9 years of Data Science and with one or more analytic software tools or languages, and data visualization tools experience Preferred Qualifications: Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets. Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification. Experience in analyzing time-series data for forecasting and trend analysis. Experience with Data Bricks platform for data analytics. Experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

India - Hyderabad JOB ID: R-212728 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 09, 2025 CATEGORY: Finance Let’s do this. Let’s change the world. In this vital role you will lead the development and maintenance of visual performance management dashboards and automation solutions to assist teams and leaders in tracking and managing the key measures that indicate the health and performance of service delivery to their customers and business partners Additionally, this role will oversee and coach the Data & Analytics Team, ensuring the successful execution of their responsibilities. This role reports to the Continuous Improvement & Automation (CI&A) Senior Manager located in Tampa, FL, and partners closely with the Global Meetings (GMM) Technical Manager, the Global Learning Solutions (GLS) Manager, and the Travel & Expense (T&E) Senior Manager for data analytics support and alignment. The individual will also collaborate with the Corporate Services Product Team to ensure alignment, data connectivity, and IT governance is compliant. This individual will be responsible for data collection, aggregation, report development and analysis of systems and data warehouses. In support of the functional leaders, the manager will perform data analysis to proactively identify trends, support investigations, and partner with the find opportunities for improvement. A successful candidate will be comfortable working within manager’s guidance compiling information for leadership to make informed decisions and contributing to projects (long and short-term) and ad hoc actions that synchronize and coordinate efforts across the Business functions. They will also gather, analyze and prepare data in various forms for the Corporate Services leadership team, as well as other ad hoc needs and requests. The candidate should be capable of handling multiple projects simultaneously and managing collaborators' expectations regarding turnaround times. Responsibilities Oversee the development, maintenance, and governance of visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Manage data visualization tools and platforms, including Tableau, Power BI, and Smartsheet, ensuring effective reporting and data-driven decision-making. Ensure data accuracy, integrity, and governance across various reporting systems. Oversee technical project execution to meet business needs effectively. Manage, monitor and govern automation solutions to enhance efficiency and reduce manual effort. Oversee the design and implementation of automation solutions to enhance process efficiency and support improvement initiatives. Leverage automation tools such as Power BI, Power Query, Power Automate, Power Apps, Smartsheet, Tableau, and SharePoint to streamline workflows and optimize business processes. Oversee data collection, aggregation, and analysis from various systems and data warehouses. (Cvent, Concur, SAP, etc.) Lead the development of reports and analytics to support strategic decision-making and business operations. Address ad-hoc data analytics requests to support functional leaders. Manage AI automation and maintenance for intake and AI self-service platforms/tools such as ServiceNow.. Find opportunities for AI-driven improvements in data management and business process automation. Partner with Technology teams to ensure seamless data integrations and system configurations to ensure standardized data connectivity and enforce data governance policies. Support functional leaders by proactively identifying trends, conducting investigations, and recommending data-driven improvements. Assist functions in monitoring key functional metrics to monitor performance in delivery to customer, business performance, and operational efficiency. Prepares monthly/quarterly/yearly metrics for Corporate Services leadership team on overall activities Manage and oversee the development and maintenance of data analytic queries, data stores, and standardized/custom report layouts. Ensure the creation and governance of a library of executive report formats, aligning reporting processes with business objectives and collaborator requirements. Evaluate algorithms using methodologies such as regression, classification, clustering, prediction Identify and monitor both recurring reporting requirements and assigned and ad hoc project progress by tracking activity; resolving problems; publishing progress reports; recommending actions Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues Provide coaching and professional development to enhance the team's technical and analytical capabilities. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree in Data Analytics, Computer Science, Business, or a related field & 2 years of data analysis, automation or business intelligence experience OR Master’s degree and 4 to 6 years of Data Analytics, Computer Science, Business, or a related field & 4 years data analysis, automation or business intelligence experience OR Bachelor’s degree and 6 to 8 years of Data Analytics, Computer Science, Business, or a related field or & 6 years data analysis, automation or business intelligence experience OR Diploma and 10 to 12 years of Data Analytics, Computer Science, Business, or a related field & 10 years data analysis, automation or business intelligence experience Preferred Qualifications: Proficiency in data analytics and visualization tools such as Tableau, Power BI, and/or Smartsheet. Strong knowledge of automation platforms & applications, including Microsoft Power Platform suite & workflows (SharePoint, Power Automate, PowerQuery, PowerApp, Pages, etc.) Proficiency in programming languages such as Python, R, and JSON Experience with AI-driven analytics and large learning models (LLM) Experience with self-service platforms such as ServiceNow. Proficiency in enterprise data governance principles Experience with SQL and NoSQL databases, including designing and optimizing relational tables, indexing strategies, and complex queries. Proficient in working with big data models, data lakes, and distributed computing frameworks to support scalable and high-performance data processing. Familiarity with additional automation tools, such as UiPath and emerging AI technologies Strong project management and multitasking skills, with the ability to handle multiple requests simultaneously. Knowledge of Waterfall and AGILE project management methodologies Basic understanding of Improvement In Execution Frameworks Strong data visualization skills, formulating data and ideas into concise and meaningful visual communication in tools such as creating dashboards, executive reports, infographics, etc. Strong knowledge of statistical techniques: regression, clustering, classification. Strong knowledge of data discovery and visualizations techniques: distributions, histograms, bar plot charts Demonstrated initiative (self-starting) and influencing without authority Strong attention to detail and the ability to work across multiple projects and regions simultaneously Excellent verbal, written, and interpersonal communication skills, including the ability to concisely present various subjects to leadership and coordinate all functional leads to provide requested data/updates Strong communication and collaborator management skills. Experience in People Management What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. and make a lasting impact with the Amgen team. careers.amgen.com

India - Hyderabad JOB ID: R-215087 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 09, 2025 CATEGORY: Finance Let’s do this. Let’s change the world. In this vital role you will support the Finance Corporate Services teams, including Global Meetings Management, Global Travel & Expense, Global Learning Solutions, Payroll, and Treasury. This role will be responsible for completing data collection, aggregation, and report development to support business leaders in tracking key performance measurements and service delivery effectiveness. Reporting to the Data Analytics & Automation Manager, this individual will play a critical role in creating and maintaining performance management dashboards and automation solutions. They will assist in analyzing data to identify trends, support investigations, and uncover opportunities for improvement in execution. The Sr. Associate will also work closely with the Corporate Services Product Team to ensure data connectivity and IT governance compliance. A successful candidate will be comfortable completing tasks under the guidance of leadership, compiling data-driven insights, and contributing to projects (long and short-term) that enhance business functions. They will also gather, analyze and prepare data in various forms for the Corporate Services leadership team, as well as other ad hoc needs and requests. Responsibilities Design and develop visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Apply tools such as Tableau, Power BI, and Smartsheet to create effective reporting solutions, ensuring data accuracy and integrity. Complete and implement automation solutions to enhance efficiency and reduce manual effort, bringing to bear tools such as Power Automate, Power Apps, Power Query, Tableau, Smartsheet, and SharePoint. Build and maintain data pipelines, queries, and reports to support strategic decision-making, business operations, and ad hoc analytics requests. Collect, aggregate, and analyze data from multiple systems and data warehouses (e.g., Cvent, Concur, SAP) to provide actionable insights and drive improvements in execution. Support AI automation initiatives, including the maintenance of intake and AI self-service platforms like ServiceNow, while finding opportunities for AI-driven process enhancements. Ensure seamless data integration and system configurations in collaboration with Technology teams, enforcing data governance policies and standardized data connectivity. Proactively identify trends, conduct investigations, and provide data-driven recommendations to functional leaders to improve business performance and operational efficiency. Prepare recurring reports and dashboards, including monthly, quarterly, and annual performance measurements for Corporate Services leadership. Develop and optimize data analytic queries, standardized/custom report layouts, and a library of executive report formats to align reporting processes with business objectives. Apply data science methodologies, including regression, classification, clustering, and predictive modeling, to enhance reporting and analytics capabilities. Conduct in-depth, ad hoc analyses to investigate operational challenges and provide data-driven insights What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications. Basic Qualifications: Master’s degree and 1 to 3 years in Data Analytics, Computer Science, or a related field & 2 years data analysis, automation or business intelligence experience OR Bachelor’s degree and 3 to 5 years in Data Analytics, Computer Science, or a related field & 4 years data analysis, automation or business intelligence experience OR Diploma and 7 to 9 years in Data Analytics, Computer Science, or a related field & 5 years data analysis, automation or business intelligence experience Preferred Qualifications: Experience with data analytics, reporting tools, and automation solutions. Solid skills in data visualization and dashboard creation (e.g., Power BI, Tableau). Proficiency in SQL and NoSQL databases, including relational table design, indexing strategies, and writing complex queries, with experience handling big data models, data lakes, and distributed computing frameworks. Ability to work with large datasets and extract meaningful insights. Proficiency in data analytics and visualization tools Expertise in automation platforms and workflows, including Microsoft Power Platform (Power Automate, Power Query, Power Apps, SharePoint, and Pages) to streamline processes and improve efficiency. Experience in programming languages such as Python, R, and JSON for data processing, automation, and analytics. Experience with AI-driven analytics and large language models (LLMs) to enhance data insights and automation capabilities. Experience working with self-service platforms such as ServiceNow to support business functions and automation. Understanding of enterprise data governance principles to ensure data accuracy, integrity, and compliance across reporting and automation systems. Familiarity with additional automation tools, such as UiPath and emerging AI technologies, to drive process optimization. Strong data visualization and storytelling skills, with the ability to translate complex data into meaningful dashboards, executive reports, and infographics. Knowledge of statistical techniques, including regression, clustering, and classification, as well as data discovery and visualization methods such as distributions, histograms, and bar charts. Proven ability to take initiative and complete projects independently, while effectively collaborating across teams and influencing without direct authority. Strong attention to detail and ability to manage multiple tasks effectively. Strong communication skills, with the ability to present insights clearly to leadership and coordinate cross-functional data requests and updates. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. and make a lasting impact with the Amgen team. careers.amgen.com

Location-Hyderabad Shift- 2-11 p.m. IST Total Exp- 8+ years Relevant Exp-8+ years Required skills:  Extensive MID Server experience  Extensive Linux & Windows OS experience  Strong Azure & AWS experience. About the role: We are seeking a skilled ServiceNow MID Server Support Specialist to manage, maintain, and optimize MID Servers in a complex, enterprise-scale ServiceNow environment. The ideal candidate will have strong troubleshooting skills, experience in IT infrastructure, and a deep understanding of how MID Servers facilitate integrations between ServiceNow and external systems. Key Responsibilities:  MID Server Management: o Deploy, configure, and maintain ServiceNow MID Servers across multiple ATTCOMM environments. o Monitor MID Server health, performance, and connectivity to ensure high availability. o Troubleshoot and resolve issues related to MID Server failures, authentication, and network connectivity.  Integration Support: o Ensure MID Servers facilitate secure and efficient data exchange between ServiceNow and external systems. o Support integrations such as LDAP, SCCM, Discovery, Orchestration, and third party APIs. o Collaborate with development teams to configure and optimize MID Server settings for integration use cases.  Security & Compliance: o Implement best practices for MID Server security, including certificate management and encryption. o Perform periodic audits to ensure compliance with AT&T enterprise security policies (ASPS).  Monitoring & Optimization: o Use ServiceNow Performance Analytics and logs to proactively identify and resolve MID Server performance issues. o Optimize MID Server clustering and load balancing for large-scale deployments.  Incident & Change Management: o Respond to and resolve incidents related to MID Server operations within defined SLAs. o Coordinate MID Server updates, patches, and upgrades with minimal impact on business operations. Required Qualifications:  Strong experience with ServiceNow MID Servers, including deployment, troubleshooting, and optimization.  Certified ServiceNow Administrator (CSA)  Hands-on experience with ServiceNow Discovery, Orchestration, and Integrations (e.g., REST/SOAP, LDAP, SCCM).  Knowledge of Windows and Linux servers, networking concepts (firewalls, proxies, DNS), and authentication protocols (OAuth, SAML, Kerberos).  Experience with PowerShell, Python, or Shell scripting for automation and troubleshooting.  Understanding of ITIL processes, particularly Incident, Change, and Problem Management.  Strong analytical and problem-solving skills with the ability to work independently and collaboratively. Preferred Qualifications:  3+ years of experience with ServiceNow Administration  Experience working in large-scale ServiceNow environments (multi-instance, multi-tenant platforms).  Familiarity with cloud environments (AWS, Azure) and how MID Servers interact with cloud resources Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Benefits: Food provided Schedule: Day shift Morning shift Work Location: In person

India - Hyderabad JOB ID: R-209851 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Mar. 11, 2025 CATEGORY: Government Affairs Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Scientist (US Value & Access Insights) What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: Ability to work on upgrades and manage the execution of Proprietary AI engine built to optimize Copay and other GTN initiatives Ensure models are trained with the latest data and meet the SLA expectations Act as a subject matter expert in solving development and commercial questions Work with a global cross functional team on the AI tool’s road map Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Model/analytics experiment and development pipeline leveraging MLOps. Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights. Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of computer science, statistics or STEM majors with a minimum of 1 year of Information Systems experience OR Bachelor’s degree and 3 to 5 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience OR Diploma and 7 to 9 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience Experience with one or more analytic software tools or languages like R and Python Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription Strong foundation in machine learning algorithms and techniques Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Preferred Qualifications: Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience with data engineering and pipeline development Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis Experience with AWS, Azure, or Google Cloud Experience with Databricks platform for data analytics and MLOps Professional Certifications : Any AWS Developer certification (preferred) Any Python and ML certification (preferred) Soft Skills: Initiative to explore alternate technology and approaches to solving problems. Skilled in breaking down problems, documenting problem statements, and estimating efforts. Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

India - Hyderabad JOB ID: R-208778 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Feb. 28, 2025 CATEGORY: Information Systems ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: The Data Scientist is responsible for developing and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involves leveraging data science techniques to analyze security data, detect threats, and automate security processes. The Data Scientist will work closely with cybersecurity teams to identify data-driven automation opportunities, strengthening the organization’s security posture. Roles & Responsibilities: Develop analytics to address security concerns, enhancements, and capabilities to improve the organization's security posture. Collaborate with Data Engineers to translate security-focused algorithms into effective solutions. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify security patterns and anomalies. Design and implement security-focused analytics pipelines leveraging MLOps practices. Collaborate with data engineers on data quality assessment, data cleansing, and the development of security-related data pipelines. Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient security analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members practicing SAFe Agile delivery model. Functional Skills: Basic Qualifications: Master’s degree and 1 to 3 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR Bachelor’s degree and 3 to 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR Diploma and 7 to 9 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) Preferred Qualifications: Experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets Strong foundation in machine learning algorithms and techniques Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Good-to-Have Skills: Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience with data engineering and pipeline development Experience in analyzing time-series data for forecasting and trend analysis Experience with AWS, Azure, or Google Cloud Experience with Databricks platform for data analytics and MLOps Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications in cybersecurity and data analysis Experience working in Product team's environment Experience working in an Agile environment Professional Certifications: Any AWS Developer certification (preferred) Any Python and ML certification (preferred) Any SAFe Agile certification (preferred) Soft Skills: Initiative to explore alternate technology and approaches to solving problems Skilled in breaking down problems, documenting problem statements, and estimating efforts Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

India - Hyderabad JOB ID: R-212723 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 09, 2025 CATEGORY: Finance Let’s do this. Let’s change the world. In this vital role you will support the Finance Corporate Services teams, including Global Meetings Management, Global Travel & Expense, Global Learning Solutions, Payroll, and Treasury. This role will be responsible for completing data collection, aggregation, and report development to support business leaders in tracking key performance measurements and service delivery effectiveness. Reporting to the Data Analytics & Automation Manager, this individual will play a critical role in creating and maintaining performance management dashboards and automation solutions. They will assist in analyzing data to identify trends, support investigations, and uncover opportunities for improvement in execution. The Sr. Associate will also work closely with the Corporate Services Product Team to ensure data connectivity and IT governance compliance. A successful candidate will be comfortable completing tasks under the guidance of leadership, compiling data-driven insights, and contributing to projects (long and short-term) that enhance business functions. They will also gather, analyze and prepare data in various forms for the Corporate Services leadership team, as well as other ad hoc needs and requests. Design and develop visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Apply tools such as Tableau, Power BI, and Smartsheet to create effective reporting solutions, ensuring data accuracy and integrity. Complete and implement automation solutions to enhance efficiency and reduce manual effort, leveraging tools such as Power Automate, Power Apps, Power Query, Tableau, Smartsheet, and SharePoint. Build and maintain data pipelines, queries, and reports to support strategic decision-making, business operations, and ad hoc analytics requests. Collect, aggregate, and analyze data from multiple systems and data warehouses (e.g., Cvent, Concur, SAP) to deliver actionable insights and drive improvements in execution. Support AI automation initiatives, including the maintenance of intake and AI self-service platforms like ServiceNow, while finding opportunities for AI-driven process enhancements. Ensure seamless data integration and system configurations in collaboration with Technology teams, enforcing data governance policies and standardized data connectivity. Proactively identify trends, conduct investigations, and provide data-driven recommendations to functional leaders to improve business performance and operational efficiency. Prepare recurring reports and dashboards, including monthly, quarterly, and annual performance measurements for Corporate Services leadership. Develop and optimize data analytic queries, standardized/custom report layouts, and a library of executive report formats to align reporting processes with business objectives. Apply data science methodologies, including regression, classification, clustering, and predictive modeling, to enhance reporting and analytics capabilities. Conduct in-depth, ad hoc analyses to investigate operational challenges and provide data-driven insights. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications. Basic Qualifications: Bachelor’s degree and 0 to 3 years of Data Analytics, Computer Science, or a related field of data analysis, automation or business intelligence experience OR Diploma and 4 to 7 years of Data Analytics, Computer Science, or a related field of data analysis, automation or business intelligence experience Preferred Qualifications: Experience with data analytics, reporting tools, and automation solutions. Strong skills in data visualization and dashboard creation (e.g., Power BI, Tableau). Proficiency in SQL and NoSQL databases, including relational table design, indexing strategies, and writing complex queries, with experience handling big data models, data lakes, and distributed computing frameworks. Ability to work with large datasets and extract meaningful insights. Proficiency in data analytics and visualization tools Expertise in automation platforms and workflows, including Microsoft Power Platform (Power Automate, Power Query, Power Apps, SharePoint, and Pages) to streamline processes and improve efficiency. Experience in programming languages such as Python, R, and JSON for data processing, automation, and analytics. Experience with AI-driven analytics and large language models (LLMs) to enhance data insights and automation capabilities. Experience working with self-service platforms such as ServiceNow to support business functions and automation. Understanding of enterprise data governance principles to ensure data accuracy, integrity, and compliance across reporting and automation systems. Familiarity with additional automation tools, such as UiPath and emerging AI technologies, to drive process optimization. Strong data visualization and storytelling skills, with the ability to translate complex data into meaningful dashboards, executive reports, and infographics. Knowledge of statistical techniques, including regression, clustering, and classification, as well as data discovery and visualization methods such as distributions, histograms, and bar charts. Demonstrable ability to take initiative and complete projects independently, while effectively collaborating across teams and influencing without direct authority. Solid attention to detail and ability to manage multiple tasks effectively. Good communication skills, with the ability to communicate insights clearly to leadership and coordinate multi-functional data requests and updates. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. and make a lasting impact with the Amgen team. careers.amgen.com

Project Role : Operations Engineer Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement. Must have skills : Microsoft Windows Server Administration Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Operations Engineer, you will support the operations and/or manage delivery of production systems and services based on operational requirements and service agreement. Your typical day will involve ensuring the smooth functioning of production systems and services, addressing operational requirements, and adhering to service agreements. Roles & Responsibilities: 1. Windows Clustering • Setup and Configuration • Cluster Monitoring • Failover management • Resource management • Vertical and Horizontal Scaling • Troubleshoot issues 2. Windows storage management skills 3. Microsoft Windows Server Administration (OS Windows 2016, 2019, 2022) 4. Required active participation/contribution in team discussions. 5. Manage and monitor production systems to ensure optimal performance. 6. Maintain SLA. 7. Implement and maintain system configurations. 8. Inter and Intra team Collaborations for service delivery. 9. Document operational processes and procedures for future reference. Professional & Technical Skills: • Strong knowledge of Windows Clusters hosted on Public and Private cloud infrastructures. • Strong skill to read cluster logs, diagnose and resolve problems related to cluster communication, storage access, and application failover. Understanding of storage technologies and how to configure shared storage for a cluster. • Operational Knowledge of Public Cloud Technologies – AWS / Azure / OCI • Must Have Skills: Proficiency in Microsoft Windows Server Administration. • Strong understanding of system administration principles. • Experience with system monitoring and performance tuning. • Knowledge of network protocols and security measures. • Good To Have Skills: Experience with cloud platforms like Azure or AWS. Additional Information: • The candidate should have a minimum of 3 years of experience in Microsoft Windows Server Administration. • Team Player, Good Communication skills, Ability to multitask and adapt to shifting priorities, 24X7 • A 15 year full-time education is required. 15 years full time education

Educational Qualification:- Bachelor of Technology in Computer Science or related field Years of Experience : 8 - 12 Years Location:- Kochi (Work From Office) Required Skills: 8 + years of software development experience with at least 4+ years of experience as a full-time data scientist, machine learning researcher, or machine learning engineer Fluency in R, Python, and experience with common data science libraries, such as Pandas, numpy, and scikit-learn Experience using neural networks and/or Deep Learning techniques and relevant Python platforms/APIs such as Tensorflow, PyTorch, and Keras in a production setting Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Experience with NLP (especially sentiment analysis, entity recognition, and use of the SpaCy library) Experience with SQL databases and SQL queries Self-starting, with the interest and passion to contribute in a fast-paced start-up like environment Experience working on or with cloud platforms (AWS, GCP, Azure) Roles and Responsibilities Build, deploy, monitor, and manage Machine Learning models Identify valuable input features and implement a means for calculating them (feature engineering) Investigate, clean, analyze, and otherwise prepare new data sources for use in higher- order analysis or as input into model features Data analysis and presentation using data visualization techniques, sometimes to broader audiences within or outside of Terawe Transition models from research to production, working with Data Engineers Fine-tune model performance in a production setting using adaptive/incremental machine learning techniques Map customer and/or product requirements to correct modeling, analysis, and/or visualization approaches Recommend ways to improve data reliability and quality and implement them Collaborate with Product development team to plan new features Terawe is an IT solutions and services form, based in Bellevue, WA USA, with offices in India, Australia, Canada and Ireland. We are focused on developing industry wide solutions on cloud infrastructure, productivity, data platforms and artificial intelligence across multiple verticals such as Retail, Education, Finance, Manufacturing and Healthcare, and work closely with several enterprise customers globally. https://www.terawe.com/ Job Types: Full-time, Permanent Pay: ₹1,800,000.00 - ₹2,400,000.00 per month Work Location: In person

Requisition Id : 1611940 The opportunity EY is looking for Senior Consultant/Consultant Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your key responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills and attributes for success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible Show more Show less

Qualifications ● 4 + years in data science or machine-learning roles (NLP or time-series a plus). ● Hands-on with clustering, anomaly detection, and causal-inference techniques. ● Strong Python (pandas, scikit-learn, PyTorch/TensorFlow) and solid SQL. ● Experience turning notebooks into production jobs via Airflow, Flyte, or similar. ● Comfortable with vector databases and similarity search (Faiss, PGVector, etc.). ● You think in experiments, communicate results clearly, and love shipping incrementally. Key Responsibilities ● Pattern Discovery – Build unsupervised / semi-supervised models (HDBSCAN, metric learning, spectral, etc.) that group similar issues and surface them for human review. ● Trend Detection & Forecasting – Design change-point and anomaly detectors, then forecast issue volume with Prophet, NeuralProphet, or your tool of choice. ● Cross-Channel Correlation – Link signals across chat, email, voice, and social to reveal how pain points bounce between channels. ● Root-Cause & Prescriptive Modeling – Apply causal graphs or lightweight GNNs to suggest likely drivers and remediation actions. ● Active-Learning Loops – Create feedback workflows that let analysts merge/split clusters and continuously improve model accuracy. ● Experimentation & Metrics – Define success criteria, run controlled experiments, and publish clear, visual results for the team. ● Collaboration – Partner with the LLM, platform, and dashboard engineers to deliver end-to-end features—then measure the lift. Job Type: Full-time Pay: Up to ₹1,000,000.00 per year Benefits: Provident Fund Schedule: Morning shift Supplemental Pay: Performance bonus Experience: machine learning: 4 years (Preferred) data science: 4 years (Preferred) python: 2 years (Required) Work Location: In person

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

V-ACCEL AI DYNAMICS PVT. LTD. Job Title: AI/ML Engineer Experience: 2-3 Years Location: Tidel Park, Chennai Interview Mode: F2F Job Summary: We are looking for a dynamic AI/ML Engineer with 2–3 years of hands-on experience in machine learning, analytics, and AI automation. The ideal candidate has practical exposure to Agentic AI systems, strong data analytics capabilities, and experience using n8n to build intelligent, event-driven workflows. You will play a critical role in developing AI solutions that power our next-gen SaaS products. This position offers a unique opportunity to work at the intersection of automation, machine learning, and intelligent agents within a high-impact, innovation-driven environment. Key Responsibilities ● Design, develop, and deploy machine learning models for classification, regression, clustering, and other predictive tasks. ● Build and maintain scalable data pipelines; conduct exploratory data analysis (EDA) to derive actionable business insights. ● Architect and implement agentic AI workflows, integrating vector databases and memory modules to enhance system intelligence. ● Develop event-driven automation using n8n, integrating third-party APIs, webhooks, and custom scripts. ● Collaborate with frontend and backend development teams to integrate ML models and AI functionalities into production-grade SaaS applications. Tech Stack & Tools Programming & ML Frameworks: ● Python (Core Language) ● scikit-learn, TensorFlow, PyTorch ● Pandas, NumPy, StatsModels Automation & Agentic AI: ● n8n (Workflow Automation) ● LangChain, AutoGen, CrewAI (Agent Frameworks) ● OpenAI, Gemini, Claude (LLM Providers) Vector & Relational Databases: ● Pinecone, Weaviate, Chroma ● PostgreSQL, MongoDB, MySQL Data & Visualization: ● SQL, Power BI, Tableau ● Matplotlib, Seaborn API & Cloud Integration: ● RESTful APIs, Webhooks, Postman ● AWS (S3, Lambda, EC2), GCP, Azure (Basic Familiarity) DevOps & Deployment (Optional but Preferred): ● Docker, GitHub Actions, Jenkins (Basic CI/CD) ● Streamlit, FastAPI (for ML API deployment) Preferred Qualifications ● Experience with Retrieval-Augmented Generation (RAG) techniques. ● Prior involvement in building SaaS platforms or AI-powered products. ● Familiarity with collaboration tools such as Jira, Notion, or similar. Why Join Us ● Be part of an innovation-led startup shaping the future of AI automation. ● Lead critical AI modules with real-world business impact. ● Thrive in a fast-paced, collaborative environment focused on continuous learning and Job Types: Full-time, Permanent Schedule: Day shift Experience: AI/ML : 3 years (Required) Work Location: In person

Job Description GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Responsibilities Build data-driven models to understand the characteristics of engineering systems Apply Gen AI, machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms and Gen-AI 3+ years of experience in at least one of the following languages: Python, R Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Show more Show less

Job ID: 30062 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 30 May 2025 Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Key Responsibilities Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology 8- 12 years relevant of Hands-on Experience About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Job ID: 30049 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 30 May 2025 Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Key Responsibilities Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology with certification in AI and ML 4-8 years relevant of Hands-on Experience in developing and delivering AI solutions About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Job ID: 30050 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 30 May 2025 Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Key Responsibilities Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology with certification in AI and ML 2-4 years relevant of Hands-on Experience in developing and delivering AI solutions About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Req ID: 326933 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Engineering Lead Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Preferred Experience: Thorough technical knowledge of Linux/UNIX/AIX platforms (Ubuntu, RHEL/SuSE). Must be able to demonstrate deep technical troubleshooting and problem-solving skills. Expertise in UNIX heterogeneous platform environments, including Clustering, Backup operations, Patching and Activation, Technical skills in Network components are preferred (DNS, DHCP, TCP). Good fundamentals and technical hands-on experience in Linux/UNIX/AIX troubleshooting. Willingness to develop strong competencies in Linux/UNIX/AIX platform support. Knowledge of Shell scripting / Python/Ansible will be a plus. Excellent understanding of ITSM\ITIL processes and certification will be added advantage. Good communication, team building, and interpersonal skill are mandatory. Knowledge and experience in Migration methodologies and Migration tools like Double Take and other related industry-wide deployment/migration tools. Knowledge in Linux VHS V2V - Vmotion and Solaris Zones migration from SHS to SHS is preferred, Solid understanding of cloud computing, networking, and storage principles with a focus on AWS. Azure experience is a plus. Cloud administration, OS/server administration, patching, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms. Shell scripting and automation experience is a plus. Fundamental understanding of emerging technologies, including Containers and PaaS solutions Able to work on On-Call rotations Able to work independently in a project scenario. Experience handling P1/P2 calls and escalations Able to write quality KB articles, Problem Management articles, and SOPs/Run-books Passion for delivering timely and outstanding customer service Able to Help L1 staff in support Great written and oral communication skills with internal and external customers Basic Qualifications: 7+ years of overall operational experience 3+ years of AWS/Azure experience 3+ years of experience working in a diverse cloud support environment in a 24*7 production support model Preferred Certifications: AWS SysOps Administrator/Developer/Solutions Architect Associate Certifications Azure Administrator Associate/Solution Architect Certifications GCP Cloud Engineer About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Req ID: 326934 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Linux/UNIX/AIX Lead Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Preferred Experience: Thorough technical knowledge of Linux/UNIX/AIX platforms (Ubuntu, RHEL/SuSE). Must be able to demonstrate deep technical troubleshooting and problem-solving skills. Expertise in UNIX heterogeneous platform environments, including Clustering, Backup operations, Patching and Activation, Technical skills in Network components are preferred (DNS, DHCP, TCP). Good fundamentals and technical hands-on experience in Linux/UNIX/AIX troubleshooting. Willingness to develop strong competencies in Linux/UNIX/AIX platform support. Knowledge of Shell scripting / Python/Ansible will be a plus. Excellent understanding of ITSM\ITIL processes and certification will be added advantage. Good communication, team building, and interpersonal skill are mandatory. Knowledge and experience in Migration methodologies and Migration tools like Double Take and other related industry-wide deployment/migration tools. Knowledge in Linux VHS V2V - Vmotion and Solaris Zones migration from SHS to SHS is preferred, Solid understanding of cloud computing, networking, and storage principles with a focus on AWS. Azure experience is a plus. Cloud administration, OS/server administration, patching, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms. Shell scripting and automation experience is a plus. Fundamental understanding of emerging technologies, including Containers and PaaS solutions Able to work on On-Call rotations Able to work independently in a project scenario. Experience handling P1/P2 calls and escalations Able to write quality KB articles, Problem Management articles, and SOPs/Run-books Passion for delivering timely and outstanding customer service Able to Help L1 staff in support Great written and oral communication skills with internal and external customers Basic Qualifications: 7+ years of overall operational experience 3+ years of AWS/Azure experience 3+ years of experience working in a diverse cloud support environment in a 24*7 production support model Preferred Certifications: AWS SysOps Administrator/Developer/Solutions Architect Associate Certifications Azure Administrator Associate/Solution Architect Certifications GCP Cloud Engineer About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Position: AI/ML Lead (CE80SF RM 3261) Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios Technical Skills required: Solid Experience in Time Series Analysis, Anomaly Detection and traditional machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), • Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Candidate Roles and Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. ******************************************************************************************************************************************* Job Category: Embedded HW_SW Job Type: Full Time Job Location: Noida Experience: 8+ years Notice period: 0-15 days

Position: AI/ML Developer (CE58SF RM 3260) Candidate Roles and Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Technical Skills required: Solid Experience in Time Series Analysis, Anomaly Detection and traditional machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. ******************************************************************************************************************************************* Job Category: Embedded HW_SW Job Type: Full Time Job Location: AhmedabadIndorePune Experience: 5 - 8 Years Notice period: 0-15 days

Work Location: Vadodara, Ahmedabad, Bangalore, Hyderabad Experience: - 7+ Years Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN. Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred. Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Kind Regards, Pranita Birla Senior Talent Acquisition Partner | Rishabh Software Job Type: Full-time Pay: ₹2,000,000.00 - ₹4,000,000.00 per year Schedule: Day shift Ability to commute/relocate: Bodakdev, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Role: Manager / Sr Manager Server Location: Gurugram Mode: Work from office Key Responsibilities The candidate will be responsible for Technology Services including Infrastructure and Operations Management. He should be technically proficient in server technology, Network, SAN management, databases, data center management, license management. This is a individual contributor role Strong Hands-On experience on the following technologies but not limited to Azure Active Directory , DHCP , DNS , Data center Office 365, SSO and SAML integration Virtualization & Hosting (VMware, Hypervisor) Zscaler & Netskope (Good to have ) On Prem to cloud migration MDM Tools (Good to have ) Required Skills & Experience 10+ years in IT Infrastructure At least 4 years of End user applications support experience in a professional services environment. Strong customer service focus and experience Project management /Implementation skills In depth knowledge of managing Hybrid Data center primarily Microsoft Infrastructure. Strong experience in managing O365, designing and deploying solutions on Microsoft Azure platform, Good knowledge of Azure IaaS (VMs, VNET, VPN Gateways and Express Route). Experience in Migration of various on prem Infrastructure and IT services on Cloud (IAAS, PAAS, SAAS), Cloud Identity management, Integration of new applications into the cloud. Ability to lead and develop technical talent (performance management, coaching, mentoring). Strong understanding of VMware, Hypervisor, Clustering and DR. Ability to evaluate and leverage technology, industry, and competitive knowledge to apply the most current and appropriate ideas in a forward-looking manner to support the business. Deliver results in a fast-paced, deadline-driven environment that requires ability to handle multiple priorities simultaneously. Proven knowledge of data storage and backup solutions. Proven knowledge of security and compliance and Audits. Proven knowledge of systems monitoring tools (both on prem and cloud) Experience with Networking, application development, configuration, and deployment is a plus It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. Show more Show less

Summary Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle. High agility to be able to work across various business domains. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. Independently manage budget, ensuring appropriate staffing and coordinating projects within the area. If managing a team: empowers the team and provides guidance and coaching, with initial guidance from more senior leaders supervised. This is usually their first people manager experience. About The Role Position Title : Manager Advanced Analytics Location – Hyd-India Hybrid About The Role Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various projects. Support and facilitate data enabled decision making internal customers using data analysis and data science techniques/methods on internal and external(3rd party) data to solve business problems Team NBS CONEXTS-I&CS business support in building capabilities by involving in various initiatives like knowledge sharing, on-boarding and training support, support in all business related tasks/activities, building process documentation and knowledge repositories Your responsibilities include but are not limited to Delivering projects and leading internal customer expectations across multi-channel marketing analytics, Portfolio Analytics, Targeting and Segmentation, Predictive Analytics, Resource Allocation and Optimization Build and deliver customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc.) and drive excellent customer satisfaction. Deliver advanced analytical and statistical solutions for various projects related to promotion evaluation, multi-channel marketing (MCM) campaign design, return on investment (value) analysis, resource allocation, segmentation, targeting, and other ad-hoc business questions Support exploratory research to identify new areas of application of advanced analytics/data science in providing improved decision-making support. Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services. Automation of project codes and development of front-end delivery solutions. Support in creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs within the function. Support in developing and maintaining knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc. Support team leaders in recruitment and on-boarding of new associates within the organization. Participate in various knowledge sharing sessions that enables growth and improves quality of NBS CONEXTS deliverables across the function. Align with all internal functional operating procedures like time tracking, critical metric tracking and reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal/IT/HR requirements. What You’ll Bring To The Role Deriving impactful strategies by defining clear category objectives, working with analytical data, business partners and market expertise. Aligning strategies to measurable target and clearly conveying them to the organization. Should have strong quantitative and systems background. Strong analytical thinking with problem solving approach and good ability to understand new data sources in short timeframe and embed them into standard analyses. Good understanding of pharmaceutical domain and data would be ideal. Strong partner leadership skills and ability to work with multiple partners. Should have worked in an international/Global company with exposure to working in cross-cultural environment. Strong and proactive business results-focus, and proven track record to provide insights that increase efficiency. Hands on to Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting o Good to have: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization Hands on to Project Management, Solid understanding of MS-Office (MS Excel, VBA, PowerPoint, Access), Learning agility, Pharmaceutical industry domain/datasets knowledge – desirable Desirable Requirements University/Advanced degree in Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, is preferable. Min 5+ years of hands-on experience in analytics in marketing analytics and experience in pharma industry is preferable. Statistical Modeling/Machine Learning techniques like Regression (esp, GLM, non-linear, etc.). experience in any one of R or Python and exposure to SAS and SQL. Familiarity with Alteryx will be a bonus. Visualization tools – Qlikview, Qliksense, Tableau. Why Novartis Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, Join the Novartis Network here: https://talentnetwork.novartis.com/network. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less