4224 Data Science Jobs - Page 20

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Python for Data Science Experience: 5-8 Years

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: GCP Dialogflow Experience: 5-8 Years

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Data Science Consulting Experience: 5-8 Years

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Mandatory Skills: Python for Data Science Experience: 8-10 Years

As a Senior Operations Manager at Bright, your primary responsibility will be overseeing key operations and compliance processes for the business. These critical procedures are essential for ensuring adherence to the requirements of our partners, regulators, and stakeholders. In this role, you will report to the Head of Operations and engage directly with senior management and various functional areas of the business. To be successful in this position, you should hold a Bachelor's or Master's degree in Business Administration, Finance, Operations, Engineering, or a related field. Your experience in scaling and building operational teams, along with your proficiency in project management, will be key assets. You should possess strong leadership qualities, influencing skills, and decision-making abilities to effectively collaborate with individuals at all levels and across internal and outsourced teams. Additionally, your proficiency in data analysis will enable you to present both qualitative and quantitative data to senior stakeholders, formulate actionable insights, and organize information in a structured manner. Your responsibilities as the Senior Manager of Operations Compliance will include the development, leadership, and execution of key compliance processes and procedures. You will be tasked with defining the process roadmap, ensuring timely delivery, and implementing oversight mechanisms. By establishing an operational oversight system to identify deficiencies and drive operational enhancements, you will contribute to maintaining high-quality service levels through proactive monitoring and continuous process improvement. Your role will also involve fostering an analytical and data-driven culture within the team and throughout the organization, in collaboration with Risk, Product, Analytics, Engineering, and other business units. In this position, you will focus on risk management by identifying potential risks across various areas, assessing their likelihood and impact, and prioritizing them accordingly. You will develop strategies, policies, and controls to mitigate risks, monitor risk factors and controls continuously, and report comprehensive risk assessments to senior management and stakeholders. Collaborating with internal departments, you will work towards integrating risk management strategies into broader business processes, ensuring compliance with regulations and industry standards. To excel in this role, you should bring a Bachelor's or Master's degree in a relevant field, professional certifications such as Certified Risk Manager (CRM) or Financial Risk Manager (FRM), and a minimum of 8 years of experience in risk management or related fields. Your analytical skills, problem-solving capabilities, communication proficiency, leadership qualities, attention to detail, and collaborative approach will be instrumental in driving effective risk management practices and fostering a culture of risk awareness within the organization.,

The role of this position is to define, architect, and lead the delivery of machine learning and AI solutions. You will be responsible for demand generation through support in solution development, collaborating with sales, pre-sales, and consulting teams to create solutions and propositions for proactive demand generation. Additionally, you will contribute to the development of solutions and proof of concepts aligned with key offerings to enable solution-led sales. You will also collaborate with different colleges and institutes for recruitment, joint research initiatives, and provide data science courses. Furthermore, you will focus on revenue generation by building and operationalizing Machine Learning and Deep Learning solutions. This will involve developing machine learning/deep learning models for decision augmentation or automation solutions, collaborating with ML Engineers, Data Engineers, and IT to evaluate ML deployment options, and integrating model performance management tools into the current business infrastructure. In terms of team management, you will be involved in resourcing by supporting the recruitment process to onboard the right resources for the team. You will also handle talent management by supporting onboarding and training for team members to enhance capability and effectiveness, managing team attrition, conducting timely performance reviews, providing constructive feedback to direct reports, being a role model to the team, and ensuring that the Performance Nxt framework is followed for the entire team. Additionally, you will lead and drive engagement initiatives for the team. The key performance parameters for this role include demand generation measured by order bookings, revenue generation through delivery assessed based on timeliness, customer success stories, and customer use cases, and capability building and team management evaluated by the percentage of the team trained on new skills and team attrition percentage.,

The Balance Sheet Management Senior Lead Analyst role within the Balance Sheet Integrated Solution group involves addressing complex Treasury challenges through both traditional methods and advanced techniques, such as AI/ML. Your responsibilities will include collaborating with various teams (Capital, IRRBB, FTP, Non-Market Risk, Methodology) to achieve strategic outcomes by utilizing your expertise in mathematics, quantitative finance, programming, and data science. Effective communication, leadership, and teamwork skills are crucial for influencing diverse stakeholders and guiding junior team members. You will be tasked with: - Identifying, designing, and implementing solutions ranging from traditional analytical methods to AI/ML to address key Treasury challenges. - Developing and managing Python libraries, adhering to SDLC best practices, and sharing code on GitHub with comprehensive documentation. - Overseeing the model pipeline and ensuring compliance with Model Risk Management guidelines. - Extracting, cleansing, and preparing large datasets using SQL and other data manipulation techniques for advanced analytics. - Creating impactful Tableau dashboards to present complex data insights in a clear and actionable manner. - Driving platform and model strategy, project prioritization, and forward-looking analytics to align with organizational goals. - Collaborating with various teams to deliver timely, data-driven solutions that enhance business decision-making processes. Qualifications for this role include: - 10+ years of relevant experience in finance/banking, with expertise in Balance Sheet Management, Capital, IRRBB, Transfer Pricing, or related areas. - Strong background in mathematics, quantitative finance, programming, and data science, including experience in developing and deploying advanced AI/ML solutions. - Proficiency in Python, SQL, and data engineering practices, along with familiarity with tools like Tableau and Excel, as well as version control using GitHub. - Demonstrated ability to architect, maintain, and scale analytics pipelines within SDLC frameworks, from data ingestion to model deployment. - Knowledge of capital markets activities, liquidity planning, and balance sheet analytics. - Excellent communication, leadership, and collaboration skills to engage with both technical and non-technical stakeholders. - Bachelor's degree in a relevant field (Master's preferred) such as Finance, Computer Science, Data Science, Mathematics, or similar. In addition, the role requires expertise in coding, Python, Tableau, understanding and designing quantitative methods, and data science. Citi is committed to providing equal employment opportunities and encourages all qualified applicants to apply. If you require accommodation due to a disability, please review the Accessibility at Citi guidelines for assistance.,

The role requires English language proficiency as it is a full-time position following a U.S. schedule with India night shift. The compensation for this position ranges from 15LPA to 24LPA per year. Join a dynamic team at TSI and embark on a rewarding career with growth opportunities and a comprehensive benefits package including medical coverage, paid time off, paid holidays, and transport facilities. TSI, a leader in customer relationship outsourcing services, accounts receivable management, loan servicing, and legal services, has over 50 years of experience in customer interactions across various industries. Your primary responsibilities will involve writing effective Python code, communicating with the team to achieve organizational objectives, fixing bugs in the code, and utilizing data analysis skills to address business queries. Qualified candidates should hold a Bachelors/Masters Degree in Engineering, Computer Science or possess equivalent experience. A minimum of 2 years of relevant experience as a data scientist is required, along with expertise in Python programming, data science/analysis, and familiarity with SQL, Rest API, Tableau, and related technologies. Strong communication skills, problem-solving abilities, and analytical skills are essential to draw conclusions from datasets and convey findings effectively. The physical requirements include normal vision, ability to sit, stand, walk, talk, hear, bend, reach, and occasionally lift up to 30lbs. The work conditions are primarily indoors with a moderate noise level. This job description is subject to changes as per business requirements. By signing below, you acknowledge receipt and understanding of this job description. The posted salary range for this position is between INR 1,500,000.00 - INR 2,400,000.00 per year.,

As part of ACL Digital, an ALTEN Group Company, you will be contributing to digital product innovation and engineering by assisting clients in designing and developing cutting-edge products, content and commerce platforms, and digital experiences. Our focus lies in leveraging AI, Cloud, and Mobile technologies to create solutions that drive digital transformation through a design-led approach. By combining strategic design, engineering expertise, and industry knowledge, we empower our clients to navigate the digital landscape and accelerate their growth. With our headquarters in Silicon Valley, ACL Digital is a prominent player in design-led digital experiences, innovation, enterprise modernization, and product engineering services tailored for the Technology, Media & Telecom sectors. With over 50,000 employees worldwide and a presence in more than 30 countries, ALTEN Group fosters a multicultural work environment that values collaboration and knowledge sharing. In India, we operate from various locations including Bangalore, Chennai, Pune, Panjim, Hyderabad, Noida, and Ahmedabad, while in the USA, we have established offices in California, Atlanta, Philadelphia, and Washington states. As a potential candidate for the position, you are expected to possess the following technical skills and competencies: - 4-5 years of relevant experience in the field - Preferred training/certification in Data Science/Machine Learning - Ability to collaborate effectively with technical leads - Strong communication skills with the capability to synthesize conclusions - Proficiency in Data Science concepts and Machine Learning algorithms using tools like Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, PyTorch, XGBoost - Experience in Machine Learning Training and Deployment pipelines - Familiarity with FastAPI/Falsk framework, Docker, Virtual Environment, and Database Operations - Strong analytical and problem-solving abilities - Capacity to excel in a dynamic environment with varying degrees of ambiguity Your role will involve the following responsibilities and competencies: - Applying data mining, quantitative analysis, and statistical techniques to conduct experiments and derive meaningful insights from data - Understanding business use-cases and collecting annotated datasets from various sources to address specific problems - Possessing a robust academic background with analytical skills and exposure to machine learning and information retrieval technologies - Strong programming skills, particularly in languages like Python, C/C++ - Extracting data from primary and secondary sources, performing data tagging, filtering, and cleaning based on business requirements - Managing a well-defined, structured, and clean database - Utilizing data labeling tools to annotate data for machine learning models - Analyzing data using statistical techniques, conducting exploratory analysis, and interpreting results effectively If you are someone who thrives in a fast-paced environment, enjoys solving complex problems, and has a passion for leveraging data to drive innovation, we welcome you to explore this opportunity with us. Warm Regards, Komal Narole,

The FDR/CVR Data Analyst will play a critical role in ensuring the safety and efficiency of aircraft operations by performing in-depth analysis of flight data. You will work with large datasets from flight recorders to monitor aircraft health and support return-to-service processes. Collaboration with various teams to interpret data, develop reports, and ensure compliance with industry standards is an essential part of your responsibilities. In addition, you will contribute to the development of new data analysis methodologies and tools, provide technical expertise, and maintain thorough documentation. Your key responsibilities will include performing detailed readouts and analysis of FDR and CVR data, constructing and managing dataframes for organizing and analyzing large datasets, collaborating with cross-functional teams to interpret and present findings, developing and maintaining documentation and reports related to FDR/CVR readouts and data analysis, ensuring compliance with industry standards and regulatory requirements, and providing technical expertise and support in the development of new methodologies and tools for data analysis. To qualify for this role, you should have a Bachelor's degree in Aerospace Engineering, Data Science, or a related field (Advanced degree preferred), proven experience in FDR and CVR readouts and analysis, proficiency in dataframe construction and data analysis, strong analytical and problem-solving skills with attention to detail, excellent communication skills (both written and verbal) with the ability to present complex data clearly and concisely, knowledge of aviation safety regulations and standards is a plus, and the ability to work independently and as part of a team in a fast-paced environment. AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.0 billion. AMETEK is committed to making a safer, sustainable, and more productive world a reality by using differentiated technology solutions to solve customers" most complex challenges. With 21,000 colleagues in 35 countries, the core values of AMETEK include Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK (NYSE:AME) is a component of the S&P 500. Visit www.ametek.com for more information.,

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

Tiger Analytics is a global AI and analytics consulting firm that is at the forefront of solving complex problems using data and technology. With a team of over 2800 experts spread across the globe, we are dedicated to making a positive impact on the lives of millions worldwide. Our culture is built on expertise, respect, and collaboration, with a focus on teamwork. While our headquarters are in Silicon Valley, we have delivery centers and offices in various cities in India, the US, UK, Canada, and Singapore, as well as a significant remote workforce. As an Azure Big Data Engineer at Tiger Analytics, you will be part of a dynamic team that is driving an AI revolution. Your typical day will involve working on a variety of analytics solutions and platforms, including data lakes, modern data platforms, and data fabric solutions using Open Source, Big Data, and Cloud technologies on Microsoft Azure. Your responsibilities may include designing and building scalable data ingestion pipelines, executing high-performance data processing, orchestrating pipelines, designing exception handling mechanisms, and collaborating with cross-functional teams to bring analytical solutions to life. To excel in this role, we expect you to have 4 to 9 years of total IT experience with at least 2 years in big data engineering and Microsoft Azure. You should be well-versed in technologies such as Azure Data Factory, PySpark, Databricks, Azure SQL Database, Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview. Your passion for writing high-quality, scalable code and your ability to collaborate effectively with stakeholders are essential for success in this role. Experience with big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, and Neo4J, as well as knowledge of different file formats and REST API design, will be advantageous. At Tiger Analytics, we value diversity and inclusivity, and we encourage individuals with varying skills and backgrounds to apply. We are committed to providing equal opportunities for all our employees and fostering a culture of trust, respect, and growth. Your compensation package will be competitive and aligned with your expertise and experience. If you are looking to be part of a forward-thinking team that is pushing the boundaries of what is possible in AI and analytics, we invite you to join us at Tiger Analytics and be a part of our exciting journey towards building innovative solutions that inspire and energize.,

As an Associate- Recruitment Reporting in the HR Department at our client, a leading logistics tech company in India, you will play a crucial role in supporting the recruitment team through data analysis, reporting, and management information systems. Your primary responsibility will be to optimize recruitment processes, enhance decision-making, and improve the overall team's performance by leveraging your strong analytical mindset and translating data into actionable insights. Your key responsibilities will include: Data Analysis and Reporting: - Analyzing recruitment data to identify trends, patterns, and opportunities for improvement. - Developing and maintaining dashboards and reports tracking key recruitment metrics like time-to-fill, top of the funnel, and candidate conversion rates. - Providing regular updates and insights to the recruitment team and management. Database Management: - Overseeing the management and integrity of recruitment databases and applicant tracking systems (ATS). - Ensuring data accuracy, consistency, and security across recruitment platforms. Process Improvement: - Collaborating with the recruitment team to streamline processes and enhance efficiency using data-driven approaches. - Identifying gaps in current processes and recommending solutions to improve recruitment outcomes. Stakeholder Collaboration: - Working closely with recruiters and supporting teams to understand their data needs and provide necessary support. - Liaising with other departments to ensure a smooth process. Invoice Processing: - Receiving, reviewing, and verifying vendor invoices for accuracy, completeness, and compliance with company policies. - Resolving discrepancies and issues related to invoices promptly. Vendor Communication: - Maintaining positive relationships with vendors and internal stakeholders to facilitate smooth invoice processing. To excel in this role, you should have: - Proven experience in data analysis and reporting, preferably within a recruitment or HR context. - Strong proficiency in data analysis tools such as Excel, Power BI, Tableau, and applicant tracking systems (ATS). - Excellent analytical skills with the ability to interpret complex data sets. - Strong attention to detail and organizational skills. - Effective communication and interpersonal skills, with the ability to collaborate across teams. About Hireginie: Hireginie is a prominent talent search company that specializes in connecting top talent with leading organizations. Committed to excellence, we offer customized recruitment solutions across industries, ensuring a seamless and transparent hiring process. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.,

As a Machine Learning Engineer at Tecblic, you will be part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we invite you to join us on our innovative journey. Your primary responsibilities will include researching, designing, and fine-tuning machine learning models, with a specific focus on LLMs and Agentic AI systems. You will collaborate with software engineers and product teams to integrate AI models into customer-facing applications, perform data preprocessing and exploratory data analysis, and design robust model deployment pipelines. Additionally, you will prototype innovative solutions using cutting-edge techniques like reinforcement learning and generative AI, while also providing technical mentorship to junior team members. To excel in this role, you should have proficiency in Python for machine learning tasks, expertise in ML frameworks like PyTorch and TensorFlow, and a solid understanding of LLMs such as GPT and BERT. Experience with NLP tasks, deep learning architectures, and data manipulation tools is essential. Familiarity with cloud services, deployment tools, and additional skills like Agentic AI exposure and MLOps tools would be advantageous. In addition to technical skills, you should possess a strong analytical and mathematical background, solid understanding of algorithms and data structures, and the ability to handle large datasets using distributed frameworks. Soft skills such as problem-solving, communication, and collaboration are also crucial for success in this role. If you are a self-motivated individual with excellent critical-thinking abilities and a continuous learning mindset, we look forward to having you contribute to our team at Tecblic.,

The role of an AI Deployment Architect at Centific involves designing and implementing highly secure AI solutions deployment at an enterprise scale. This includes developing architectures that align with business objectives, integrating AI technologies into existing systems, and ensuring high performance with quick turnaround for hundreds of concurrent users. The key responsibilities of this role include collaboration with stakeholders to understand requirements, staying updated with the latest AI trends for continuous innovation, leading AI projects deployment, and optimizing AI models for performance and scalability. To be successful in this role, candidates are required to have at least 8 years of experience in designing and deploying AI models in a highly secure environment supporting a large number of concurrent users. A strong graduate-level degree in Computer Science or other engineering discipline from a top-tier school is essential. Candidates should also possess expertise in AI architecture and pipeline planning, software engineering, DevOps principles, data science, advanced analytics, technical proficiency in programming languages such as Python, R, and Java, analytical thinking, project management skills, effective communication abilities, and adaptability to new challenges and technologies. Key skills required for this role include expertise in AI workflows and pipelines design, knowledge of software engineering principles and DevOps tools, proficiency in advanced analytics tools and machine learning frameworks, technical proficiency in programming languages, excellent problem-solving skills, proven experience in project management, strong communication abilities, and adaptability to fast-paced environments. Candidates should also be familiar with machine learning frameworks like TensorFlow, PyTorch, Keras, programming languages including Python, R, Java, C++, data management tools like SQL and NoSQL databases, cloud platforms such as AWS, Google Cloud, Azure, and development tools like Jupyter Notebooks, Git, Docker, and Kubernetes. In summary, the AI Deployment Architect role at Centific requires a combination of technical expertise, project management skills, effective communication abilities, and adaptability to drive the deployment of secure and scalable AI solutions in alignment with business objectives.,

We are looking for a skilled Web/Android App Developer Intern to join our team at Greenin Urja. As an intern, you will be involved in exciting projects and gain hands-on experience in the renewable energy industry. Your main responsibilities will include developing and maintaining web and Android applications using Java, HTML, and WordPress. You will also be required to implement data science techniques to analyze and visualize data for decision-making purposes. Collaboration with cross-functional teams is essential to ensure the seamless integration of applications. Troubleshooting and debugging issues to guarantee optimal app performance will be part of your daily tasks. Additionally, creating comprehensive documentation for app development processes and staying updated on industry trends and technologies to improve app functionality are crucial aspects of the role. You will also provide support to the team in various tasks related to MS-Word, MS-Excel, and other software tools. If you are enthusiastic about technology and sustainability, this internship offers a perfect opportunity for you to be a part of. Do not miss the chance to contribute to a greener future with Greenin Urja! Apply now. About the Company: Greenin Urja is involved in sales, R&D, repair, and maintenance services in electrical and electronics, robotics, and solar system solutions. We are currently expanding our business in the hybrid digital e-commerce platform.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique opportunity allows you to be a part of the Data Analyst team, collaborating closely with the Business. As a Senior Process Intelligence and Data Analytics Specialist in our COS Transformation team, you play a crucial role in leveraging digital technology to drive transformation analytics. Your expertise in data analytics, process mining, and data science is instrumental in managing programs from inception to completion. Your analytical mindset is pivotal in identifying process improvement opportunities and leading continuous enhancements in partnership with the business. You will: - Lead Digital Process Discovery projects, overseeing them from start to finish, including business casing, scoping, and delivery. - Utilize process mining techniques to analyze process behavior and pinpoint areas for enhancement. - Implement real-time process monitoring through streaming data to optimize process efficiency. - Conduct data-driven root cause analysis to tackle process conformance issues and inefficiencies. - Manage projects through scoping, data collection, processing, modeling, implementation, and evaluation. - Collaborate with the U.S. Process Intelligence team to enable advanced process analytics, ensuring continual outcomes through a "follow the sun" approach. - Work with leadership to create innovative Process Intelligence solutions and collaborate with the business to define use cases and foster new ideas. Key Qualifications, capabilities, and skills: - Bachelor's, Master's, or PhD in process mining, computer science, statistics, or a related field. - 9+ years of extensive experience in statistical analysis, process mining, and process analysis. - Proficiency in Python and familiarity with relevant libraries (e.g., PM4PY) and frameworks for predictive process mining and monitoring. - Proven track record of providing data analytics for senior management and translating complex data insights into actionable recommendations. - Experience with data pipelining and data visualization tools like Alteryx and Tableau. - Strong ability to collaborate with various internal teams, particularly business and technology, to drive results and effectively communicate technical concepts to non-technical stakeholders. - Excellent verbal, written communication, and presentation skills, with the capability to articulate and convey a compelling narrative.,

Description & Requirements About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management (PBM ) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage. At Infor we value your privacy that s why we created a policy that you can read here .

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015. Our flagship processing platform - Zeta Tachyon - is the industry s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 15M+ cards have been issued on our platform globally. Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios. Zeta has over 1700+ employees - with over 70% roles in R&D - across locations in the US , EMEA , and Asia . We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021. The Role This role provides an exciting opportunity to be at the forefront of AI innovation, contributing to the development and implementation of solutions that push the boundaries of technology. If you are passionate about AI, thrive in a collaborative environment, and enjoy driving impactful projects, this position offers a platform for creativity and professional growth. Join us in shaping the future of AI applications Responsibilities: Integration: Collaborate with software engineers to deploy and integrate data models into production systems, ensuring scalability, reliability, and efficiency. Metrics Identification: Identify key business metrics, offering insights that inform decision-making processes and recommending product features when necessary. Concept Development and Design: Collaborate with cross-functional teams to brainstorm and refine ideas for AI-powered solutions and various NLP/ML use cases. Translate business requirements into technical specifications for models and algorithms. Design and develop innovative solutions that address specific business challenges and enhance user experience. Model Development and Optimization: Develop and implement machine learning models using Python, R, or other relevant programming languages. Employ deep learning techniques and algorithms to extract meaningful insights from large datasets. Continuously improve and optimize models to achieve high accuracy and performance. Exploratory Data Analysis and Insights: Conduct exploratory data analysis to uncover patterns, trends, and hidden relationships within data. Utilize statistical and data mining techniques to extract valuable insights from unstructured data. Generate actionable recommendations and insights for future product development and feature enhancements. Rapid Prototyping and Deployment: Quickly prototype AI solutions to test and validate their effectiveness. Collaborate with software engineers to seamlessly integrate AI models into production systems. Ensure the scalability, reliability, and efficiency of deployed AI solutions. Communication and Collaboration: Effectively communicate technical concepts and findings to non-technical stakeholders. Create clear and comprehensive documentation to capture project details, methodologies, and results. Collaborate with software engineers, product managers, and operations teams to bring AI solutions to life. Business Impact and Metrics: Identify key business metrics that can be positively impacted by AI solutions. Track and monitor the performance of AI models on relevant business metrics. Recommend product features and enhancements based on data-driven insights and AI-generated recommendations. Skills Quantitative and Problem-Solving Skills: Strong quantitative and problem-solving skills NLP and Data Science Libraries: Solid understanding of NLP and knowledge of essential data science libraries, including Pandas, Numpy, Scipy, and Scikit-Learn Python Programming: A good hands-on experience with Python used in data analysis and model building Distributed Computing Experience: Experience with Hadoop, Spark, or other distributed computing systems for large-scale training Machine Learning Techniques: Strong understanding of supervised (decision trees, random forests, boosting, etc.) and unsupervised ML techniques Experience and Qualifications Masters or Bachelors degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering Minimum 2+ years of relevant experience with a proven track record of developing ML solutions. Life At Zeta At Zeta, we want you to grow to be the best version of yourself by unlocking the great potential that lies within you. This is why our core philosophy is People Must Grow. We recognize your aspirations; act as enablers by bringing you the right opportunities, and let you grow as you chase disruptive goals. #LifeAtZeta is adventurous and exhilarating at the same time. You get to work with some of the best minds in the industry and experience a culture that values the diversity of thoughts. If you want to push boundaries, learn continuously and grow to be the best version of yourself, Zeta is the place to be! Explore the life at zeta Zeta is an equal opportunity employer. At Zeta, we are committed to equal employment opportunities regardless of job history, disability, gender identity, religion, race, marital/parental status, or another special status. We are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the roles and responsibilities.

Position Details: Senior Data Analyst (Job code 277) Description: Job Title: Senior Data Analyst Reports To: CEO Job Summary: We are seeking a highly skilled and experienced Data Analyst with 6+ years of hands-on experience in data science, analytics, and stakeholder engagement. The ideal candidate should have strong expertise in Python , Tableau , Snowflake , Machine Learning, Statistical testing and should be comfortable driving business insights through storytelling and daily interactions with stakeholders. Key Responsibilities: Design, build, and deploy scalable machine learning models to solve complex business problems Write and optimise complex SQL queries, particularly on the Snowflake platform Develop insightful dashboards and visualisations using Tableau Conduct data exploration, cleaning, and transformation using Python & R and relevant libraries (Pandas, NumPy, Scikit-learn, etc.) Perform A/B testing & other statistical techniques Translate analytical insights into clear, compelling stories and recommendations for stakeholders Collaborate cross-functionally with product, engineering, and business teams to understand data needs and deliver solutions Present findings and recommendations to both technical and non-technical stakeholders regularly Requirements: 6+ years of professional experience in data science or advanced analytics Strong proficiency in Python for data manipulation, analysis, and modelling Proven experience in building dashboards and reports using Tableau Expertise in writing complex SQL queries , especially on Snowflake Solid understanding of machine learning techniques, statistical tests and model deployment best practices Excellent communication and storytelling skills to convey data-driven insights Comfortable working closely with stakeholders daily to gather requirements and present findings Perform an action: We are at these locations Ignitho teams operate globally from USA, UK, India, Sweden, and Costa Rica.

Join AGCO s Catalyst Program: Shaping the Future of Agriculture Are you ready to make a significant impact in the world of agricultureAGCOs Rotational Program is your gateway to a dynamic and rewarding career. This 18-month rotational program is designed for early career professionals who are passionate about innovation, leadership, and driving change in the agricultural industry. Why Choose the Catalyst Program Rotational Experience in AI & Data Governance AI & Analytics AI & Data Ops Professional Growth: Develop as a high performer and future leader with guidance from experienced mentors Global Opportunities: Work on impactful projects with teams from different regions Innovation and Leadership: Participate in cutting-edge projects to enhance AGCOs digital presence and customer engagement Commitment to Excellence: Attend Catalyst events, complete feedback documents, and contribute to program goals Job Responsibilities: Analytical, customer focused thinking Interactions with IT departments as well as various business units and any level of management Lead end-to-end project lifecycle activities including planning, execution and monitoring Project Delivery across multiple workstreams Practical experience with enterprise IT systems and cloud platforms Duties vary based on rotational team participation Competencies: Excellent oral and written communication skills. Ability to meet deadlines and produce high-quality work. Team players who can work independently and collaboratively. Strong interpersonal and problem-solving skills. Who Should Apply To be successful in this role, you will be an early career professional (0-2 years) with a keen interest and passion in IT High performers with critical skills and leadership traits Educational Degree in one of the following areas preferred: Information Technology Computer/Data Science Business Information Systems Software Engineering Machine Learning Or any relevant Engineering background Your Benefits GLOBAL DIVERSITY Diversity means many things to us, different brands, cultures, nationalities, genders, generations even variety in our roles. You make us unique! ENTERPRISING SPIRIT- Every role adds value. Were committed to helping you develop and grow to realize your potential. POSITIVE IMPACT Make it personal and help us feed the world. INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence and work alongside teams of people worldwide who share your enthusiasm. MAKE THE MOST OF YOU Benefits include health care and wellness plans and flexible and virtual work option . Your Workplace AGCO is a Great Place to Work Certified and has been recognized for delivering exceptional employee experience and a positive workplace culture. We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruiting, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives. We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.

About TripStack - We are travel tech entrepreneurs, changing the way millions of people travel. Our proprietary virtual interlining technology provides access to billions of travel itineraries by combining flights from different airline carriers that don t traditionally work together. We take our customers from point A to B via C, including land transportation, at the lowest possible price. We are impacting the way people travel and provide higher margin opportunities to our partners that are some of the largest in the travel industry. We pride ourselves on the performance-driven environment we have created for our teams to prosper and excel in. We come to work ready, to challenge and be challenged. We re big enough to give our teams support but small enough that every person makes a difference. There are plenty of challenges to champion. Who we are : Etraveli Group is the globally leading company for tech solutions and fulfillment capabilities for online sales of flights. We are here to solve complexity by connecting millions of flights and travelers across the globe, from search and selection to trip and beyond. We hold consumer online travel agency brands like Mytrip, GoToGate & Flight Network and serve exclusively Booking.com with flights. Etraveli Group has also established strategic partnerships with companies like Skyscanner, Google Flights, and TUI. Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 2300 passionate professionals is what makes us the industry s tech wonder and the best in the world at what we do. Our major offices are in Sweden (HQ), Canada, Greece, India, and Poland. 5+ years of well-rounded travel industry experience (with focus on NDC, GDS or OTAs) Strategic thinker with critical decision making skills Strong experience in data-backed decision making/statistics/market research Out

Were Hiring: Backend Engineer (Python) | 3+ Years Experience | Remote/Hybrid Pune | 35 Open Positions Are you a Python engineer with a passion for building scalable, production-grade APIsDo you thrive in high-velocity environments where Test Driven Development (TDD) is the normJoin our team to build real-world servicessuch as Gmail and Jiraas modular, high-performance APIs. Role: Backend Engineer Python Experience Required: 3+ years Location: Remote/Hybrid (Pune) Open Positions: 35 About the Role This is a hands-on software engineering position focused on backend service implementation using Python. Youll be working on creating modular APIs for real-world applications, using a strict TDD approach, and building systems that are both fast and reliable. Key Responsibilities Implement real-world services as modular, production-ready APIs Follow a strict Test Driven Development (TDD) methodology: write tests first, code second Build at speed without compromising reliability or maintainability Design and iterate on scalable, well-structured database schemas Maintain clear, developer-friendly documentation Requirements 3+ years of experience with production-grade Python Hands-on experience with Test Driven Development (TDD) Proven track record of building and scaling large systems at high velocity Strong understanding of database schema design and data modeling Ability to write clean, correct, and maintainable code under tight timelines Nice to Have Familiarity with LLM (Large Language Model) function-calling protocols and service integration paradigms Note: This is a software engineering role. It is not related to data annotation, data science, or analytics. Job Type: Full time Job Location: Pune Experience: 3+ year

Job Category: Data Science Job Type: Full Time Job Location: Bengaluru Role: ML engineer Designation: Senior Engineer Department: Delivery Experience: 8+ years Skills: Data science life cycle knowledge Kubernetes Machine Learning MLOps Pytorch Tensorflow

Job Description : Click here Job Category: Data Science Job Type: Full Time Job Location: Bengaluru Designation: Senior manager Department: Delivery Experience: 9+ years Skills: Agile project management Data Science end-to-end delivery Leadership Stakeholder Management