4415 Artificial Intelligence Jobs - Page 39

Req ID: 329922 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 Cloud Data Support Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Basic Qualifications: (what are the skills required to this job with minimum years of experience on each) Must have 8 - 10 years experience in Cloud Data Engineering Support roles preferably in Microsoft Azure. Must have some years Cloud Data Engineering Support of a Microsoft Azure Data Warehouse. Experience in a Cloud environment front line support role handling broke/fix recovery. Must have Cloud Data Engineering Support experience working with large datasets and complex data environments, processes, and associated solutions. Incident and Problem Management using ServiceNow Knowledge and experience with a data warehouse star schema and ETL concepts SQL Basic skills and experience 5-6 years experience and knowledge of Streaming Support with Event Hub, Databricks Cluster, Cosmos DB, Scala, Azure SQL DB and Azure App Insights. Knowledge of API s along with Azure Functions, Scala, Python, Azure SQL DB and Azure App Insights. Knowledge of Batch Support with Databricks, Python, Microsoft Data Factory, Azure App Insights, IWS Job Scheduling Knowledge of automated and scheduled batch job tools such as IBM IWS and Control-M. Must have good oral and written communication skills to effectively communicate with various IT teams and business representatives. Must be able to both collaborate in a team-oriented environment and work independently with direction. Nice to Have; (But not a must) Knowledge of Data Product Hygiene and be able to champion this in your work. Support Security and Audit Compliance initiatives related to the Microsoft Azure environment Experience with Big Data solutions and no SQL DBMSs Experience with Azure, AWS, or other Public Cloud environments Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Scala, Synapse Analytics, Delta Lake, Cosmos DB, or DevOps Bachelors degree in Computer Science, Computer Information Systems, Management Information Systems, or related field preferred About NTT DATA 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 youd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Req ID: 329902 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 Business Analyst to join our team in Bangalore, Karn taka (IN-KA), India (IN). Skills & Experience 7-10 years experience as a Product Owner or Business Analyst with MicroSoft Teams SDK experience. Strong experience in the payments industry, with a strong focus on instant payments systems Deep understanding of payment processing, instant payments, and financial messaging standards. Knowledge of Salesforce products like Salesforce Sales Cloud, Service Cloud, or CPQ. Strong leadership and communication skills, with the ability to influence and collaborate with cross-functional teams. Excellent analytical and problem-solving abilities, with a data-driven approach to decision-making. Ability to manage multiple priorities and thrive in a fast-paced, dynamic environment. Familiarity with Agile and Scrum methodologies, including hands-on experience with tools like Jira or Confluence. Play a key role in shaping the future of instant payments, driving innovation in a rapidly evolving industry. Product Strategy & Vision Collaborate with the Product Manager to understand product requirements and define the what during product development Define and communicate the vision for Salesforce solutions based on business objectives. Collaborate with stakeholders to understand requirements, pain points, and opportunities for improvement Be a passionate advocate of the product vision and act as the voice of the customer throughout the development cycle Backlog Management & Prioritization Manage prioritization of the product backlog to be continually aligned to business value Prepare & groom stories based on upcoming requirement or enhancement Gather and refine business requirements, translating them into user stories and acceptance criteria Ensure the product backlog is visible to stakeholders to ensure transparency Accept completed epics and stories according to the Definition of Done Give demo to business user and stake holders. Works with Technical Program Managers, Business Units, Salesforce Developers, designers, and internal customers to define the details behind the business requirements Facilitate communication between technical and non-technical teams to ensure alignment. Work closely with Salesforce architects and developers to define solutions that balance functionality and scalability Sprint Planning & Agile Execution Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives Ensure timely delivery of features User Adoption & Training Acquire subject matter expertise and provide thought leadership in our products, customers and processes, to drive excellence in our services. Drive user engagement by facilitating training sessions and creating relevant documentation. Gather feedback from end-users and incorporate it into future product improvements Maintain requirement gathering details on Confluence page. Properly address technically challenges to the customer and should be able to understand requirement feasibility.

Req ID: 320660 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 BODS Developer to join our team in Hyderabad, Telangana (IN-TG), India (IN). Job Requirements 4-6 Yrs. of overall technical experience in SAP BODS with all the SAP BODS application modules (Extract, Transform, Load) 2-4 Yrs. of experience with Data Migration experience with S/4 HANA/ECC Implementations Experience in BODS Designer Components- Projects, Jobs, Workflow, Data Flow, Scripts, Data Stores and Formats Experience in BODS performance tuning techniques using parallel processing (Degree of Parallelism), Multithreading, Partitioning, and Database Throughputs to improve job performance Experience in ETL using SAP BODS and SAP IS with respect to SAP Master / Transaction Data Objects in SAP FICO, SAP SD, SAP MM/WM, SAP Plant Maintenance, SAP Quality Management etc. is desirable Experience with Data Migration using LSMW, IDOCS, LTMC Ability to Debug LTMC errors is highly desirable

Req ID: 325686 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 AWS, SQL, Snowflake, ControlM, ServiceNow - Operational Engineer (Weekend on call) to join our team in Bangalore, Karn taka (IN-KA), India (IN). Minimum Experience on Key Skills - 5 to 10 years Skills: AWS, SQL, Snowflake, ControlM, ServiceNow - Operational Engineer (Weekend on call) We looking for operational engineer who is ready to work on weekends for oncall as primary criteria. Skills we look for AWS cloud (SQS, SNS, , DynomoDB, EKS), SQL (postgress, cassendra), snowflake, ControlM/Autosys/Airflow, ServiceNow, Datadog, Splunk, Grafana, python/shell scripting. #LI-INPAS

Req ID: 329179 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 Boomi developer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Mandate Skills: 5-8 years in Cloud Integration using Dell Boomi. Experience of integration development with Oracle EBS Expereince with documenting the requirement in Field Mapping Document. Experience to do reverse enggineering Strong knowledge of design patterns - BOOMI API management Proficient in software integration using Boomi AtomSphere Strong technical skills with hands on design, development, integration and deployment in enterprise applications The Developer will perform systems analysis, contribute to system design, and develop application functionality both individually and as part of a team. Interaction with users during requirements gathering, design, collaborative development, and testing is a key requirement for the position. Systems Integration using Boomi, and other technologies.

Req ID: 328244 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 APAC Presales Solution Architect to join our team in Bangalore, Karn taka (IN-KA), India (IN). "Job Duties: Senior Data and AI Architect - Presales Grade 11 Seeking a senior data solution architect to closely work with India and APAC sales teams for technical solutioning and presales work. The Consultant is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client s technology infrastructure. Key Responsibilities: Ability and experience to have conversations with the CEO, Business owners and CTO/CDO Break down intricate business challenges, devise effective solutions, and focus on client needs. Craft high level innovative solution approach for complex business problems Utilize best practices and creativity to address challenges Leverage market research, formulate perspectives, and communicate insights to clients Establish strong client relationships Interact at appropriate levels to ensure client satisfaction Minimum Skills Required: Knowledge and Attributes: Ability to focus on detail with an understanding of how it impacts the business strategically. Excellent client service orientation. Ability to work in high-pressure situations. Ability to establish and manage processes and practices through collaboration and the understanding of business. Ability to create new and repeat business for the organization. Ability to contribute information on relevant vertical markets Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools. Academic Qualifications and Certifications: BE/BTech or equivalent in Information Technology and/or Business Management or a related field. Scaled Agile certification desirable. Relevant consulting and technical certifications preferred, for example TOGAF. Required Experience: 12-15 years Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment. Very good understanding of Data, AI, Gen AI and Agentic AI Must have Data Architecture and Solutioning experience. Capable of E2E Data Architecture and GenAI Solution design. Must be able to work on Data & AI RFP responses as Solution Architect 10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect Develop On-prem, Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions. Experience with large scale consulting and program execution engagements in AI and data Seasoned multi-technology infrastructure design experience. Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management. Additional Job Description Knowledge and application: Seasoned, experienced professional; has complete knowledge and understanding of area of specialization. Uses evaluation, judgment, and interpretation to select right course of action. Problem solving: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. Interaction: Enhances relationships and networks with senior internal/external partners who are not familiar with the subject m"

Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.tech + 10 yrs experience. -Minimum 3 yrs experience working as a Manager (only Lead experience will not qualify). -8 years experience in any of the programming languages such as Python/C++/CUDA. -8 years experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. -5 years exp in Image processing -Product Company Experience is a MUST. Candidates from engineering product companies are higher chances of select. - Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT)(Preferred) -No job hoppers(candidate must have good stability- min 2 years in an organisation) - No Poach - HCL (current company must not be HCL) ******** -Relocation to Chennai is mandatory Role & responsibilities Preferred candidate profile

JOB OVERVIEW: The Data Analytics and Insights Manager will play a pivotal role in driving data-driven decision-making by utilizing advanced analytics, artificial intelligence (AI), and machine learning techniques. This role will focus on leveraging technology to automate data extraction, generate actionable insights, and provide predictive analytics that will support business growth,. The ideal candidate will be responsible for leveraging technology to automate data integration from diverse sources, mining data to identify key trends, and delivering strategic insights that drive the optimization of marketing and sales strategies. KEY STAKEHOLDERS: INTERNAL Senior Sales Leadership, Marketing Team and Commercial Teams KEY STAKEHOLDERS: EXTERNAL : External Data Providers, Market Research agencies REPORTING STRUCTURE: Reports to Head Strategic Marketing ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred. RELEVANT EXPERIENCE: Minimum of 2+ years in data analytics, business intelligence, or related fields. Proficiency in predictive analytics, machine learning, and data science techniques. Experience with Salesforce, CRM systems, and data extraction technologies. Familiarity with the Pharma domain is an advantage. Knowledge of Marketo is a plus. Key Roles/Responsibilities KEY ROLES/RESPONSIBILITIES: Data Extraction & Automation: Use advanced data extraction techniques, including automation tools and web scraping, to gather critical data on market trends, Drive automation initiatives to streamline data collection processes and increase efficiency Predictive Analytics & Insights Generation: Leverage machine learning and AI-driven algorithms to analyze historical and current data to predict future trends and sales opportunities. Provide actionable insights to enhance lead generation, conversion rates, and overall business performance. Competitor & Market Trend Analysis: Conduct ongoing competitor analysis using automated tools to extract competitive intelligence. Generate market trend insights, helping the business to stay competitive and refine its strategy in response to external changes. Salesforce Data Analytics: Utilize Salesforce data and other integrated platforms to perform deep data analysis, track sales performance, and generate insights that drive sales team effectiveness. Automate data flow and reporting processes within Salesforce to ensure real-time, actionable insights. Collaboration with Sales and Marketing Teams: Work closely with the Inside Sales and Marketing teams to identify key performance indicators (KPIs) and analytics that support lead generation, sales optimization, and marketing strategies. Provide data-driven recommendations to drive decision-making and improve marketing campaigns. Advanced Reporting & Visualization Design and implement interactive dashboards and reports using tools like Power BI, Tableau, or Qlik. Create and deliver professional PowerPoint presentations summarizing key findings and actionable recommendations . Support Inside Sales Efforts: Use data insights to optimize inside sales strategies, ensuring that the sales team has access to high-quality leads and relevant market data. Conduct segmentation analysis, targeting, and scoring to improve sales efficiency. Key Competencies Advanced Data Analytics Skills: Strong background in data analytics, predictive modeling, and machine learning. Ability to apply statistical and algorithmic methods to analyze and predict trends. Technical Proficiency: Expertise in data extraction, automation, AI, and machine learning platforms. Proficiency in tools such as Python, R, SQL, and cloud platforms for large-scale data processing and analysis. Salesforce Experience: Proficiency in analyzing and leveraging Salesforce data to extract business insights, enhance lead generation, and optimize sales processes. Automation & Web Scraping : Expertise in using automation tools and web scraping techniques to collect data from external sources and industry reports. Business Acumen & Insight Generation: Strong ability to translate data insights into actionable business strategies, particularly to optimize sales, marketing, and competitive positioning Responsibilities Qualifications ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred.

About the Role #JLLTechAmbitions We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

Responsibilities: Design, develop & maintain AI/ML models using Python, AWS & OpenCV. Collaborate with cross-functional teams on NLP projects. Optimize performance through data analysis with Pandas & Scikit-Learn. Health insurance Annual bonus

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Job Description: Head of AI, Data & Integration Reports to: Global CIO Role Summary We are seeking a grounded yet visionary leader to serve as Head of AI, Data & Integration. This role will oversee enterprise-wide initiatives in data management, analytics, integration, and AI/ML (including Generative AI), enabling the company to make better decisions, operate more efficiently, and unlock new value through data. It is both a strategic and delivery-focused role, with the clear expectation of influencing our transformation journey without disrupting what already works. The ideal candidate brings a builder” mindset, strong business acumen, technical depth in AI and data platforms, and a collaborative approach to driving change. This role will shape our data and AI agenda while directly managing teams and partners involved in Data Governance, Master Data Management, Enterprise Integration, Business Intelligence, and the scalable deployment of AI/ML solutions. Key Responsibilities Enterprise Data & Integration Strategy Lead the enterprise data architecture, integration platforms (Boomi, SAP CPI, etc.), and data engineering roadmap. Establish data standards, pipelines, and models to support operational, financial, and commercial processes. Ensure interoperability across ERP, supply chain, R&D, manufacturing, and commercial systems. AI & Analytics Leadership Define and drive the AI/ML and GenAI strategy — identifying and delivering high-impact use cases across business functions. Build shared, scalable AI capabilities to support knowledge search, process optimization, and intelligent decision support. Collaborate with cross-functional stakeholders to embed data and AI into day-to-day workflows. Data Governance & Quality Lead master data management (MDM), data governance, and data quality initiatives to ensure reliable and compliant data assets. Implement robust frameworks for data stewardship, access control, auditability, and lifecycle management. Align data practices with enterprise compliance standards (e.g., 21 CFR Part 11, GxP, cybersecurity). Organizational Enablement & Innovation Build and mentor a strong internal team covering data engineering, data science, BI/analytics, and integration development. Partner with external vendors, innovation hubs, and platforms to augment capabilities and stay ahead of emerging trends. Create a culture of data literacy, continuous learning, and practical experimentation. Program Execution & Value Delivery Deliver cross-functional AI/data programs with clarity, speed, and business impact. Establish performance metrics to measure ROI, adoption, data quality, and operational efficiency improvements. Ensure successful scaling of AI and data-driven solutions, from proof-of-concept through to enterprise rollout. Required Experience & Qualifications 20+ years in IT or digital transformation roles, with deep experience in enterprise data, integration, and analytics platforms. 7+ years of direct leadership over Big Data/AI/ML initiatives and cross-functional delivery teams. Experience building and scaling data pipelines, governance models, MDM programs, and integration frameworks in complex enterprises. Proven ability to deliver business outcomes using GenAI, ML, and automation. Strong leadership, communication, and stakeholder management skills across business and technical functions. Industry experience in life sciences, pharmaceuticals, or other regulated sectors preferred.

Job Summary As a Technical Lead you will drive the development and implementation of cutting-edge solutions in Generative AI and SAP Commerce. You will work in a hybrid model collaborating with cross-functional teams to enhance customer service and eCommerce platforms. Your expertise in Angular TypeScript and Java will be crucial in delivering high-quality software solutions that align with business objectives and improve user experiences. Responsibilities Lead the design and development of innovative solutions using Generative AI and SAP Commerce technologies to enhance business processes and customer engagement. Oversee the implementation of Angular 13-16 and TypeScript to build dynamic and responsive web applications that meet client specifications. Provide technical expertise in SAP Commerce Cloud (CCV2) and Spartacus to optimize eCommerce functionalities and improve platform performance. Collaborate with cross-functional teams to integrate SAP Commerce WCMS Search and PCM modules ensuring seamless user experiences and efficient content management. Develop and maintain SAP Commerce Core and Backoffice Functional components to support B2B operations and streamline business workflows. Utilize Java and Spring MVC frameworks to build robust and scalable backend systems that support high-volume transactions and data processing. Implement SAP Commerce Integration strategies to connect various systems and enhance data flow across platforms. Drive the adoption of HTML 5 standards to ensure web applications are accessible responsive and compatible with modern browsers. Engage with stakeholders to gather requirements and translate them into technical specifications that guide development efforts. Monitor and evaluate the performance of software solutions identifying areas for improvement and implementing necessary enhancements. Ensure compliance with industry standards and best practices in software development to maintain high-quality deliverables. Mentor and guide junior developers fostering a culture of continuous learning and professional growth within the team. Contribute to the companys mission by delivering solutions that improve operational efficiency and customer satisfaction. Qualifications Possess a strong background in Generative AI and SAP Commerce technologies with hands-on experience in Angular TypeScript and Java. Demonstrate expertise in SAP Commerce Cloud (CCV2) Spartacus and related modules to drive eCommerce innovation. Have a solid understanding of HTML 5 Spring MVC and backend development practices. Experience in Order Management-Manlog and Medical Devices domains is a plus. Exhibit strong problem-solving skills and the ability to work collaboratively in a hybrid work model. Display excellent communication skills to effectively interact with team members and stakeholders. Certifications Required SAP Certified Development Professional - SAP Commerce Cloud 1905 Developer Certified Angular Developer

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Create and execute a global Data Science/Data Architecture strategy based on the overall CT Technology strategy together with the CFO IT Data Science team. Portfolio Management - Define the Process of Portfolio and bring it into execution Ideation Facilitator: Explore with Business Areas to keep the Use case pipeline filled continuously Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Experience with programming languages such as Python or R. More than 8 years of dedicated experience in various data science-related roles in the industry. Experience in agile project management with internal and external partners. Strong project management skills with the ability to manage multiple projects simultaneously. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities. Additional Information You inspire your stakeholder and contact partner with an effective communication of high intercultural sensitivity Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success up to date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.

Key Responsibilities: - Gather and extract data from various databases and sources, ensuring data quality and consistency. - Perform detailed data analysis to uncover trends, patterns, and actionable insights that support business objectives. - Develop predictive models and algorithms to address complex business challenges and forecast outcomes. - Use statistical tools and machine learning techniques to optimize processes and inform strategic initiatives. To provide suggestions and research backed recommendations for adoption of newer tools and available products to enhance data productivity - Design and implement automated dashboards and reporting systems to streamline data insights and accessibility. - Develop automated alert mechanisms to promptly notify relevant stakeholders of significant changes or anomalies. - Collaborate with cross-functional customer experience teams to understand data needs and provide analytical support. - Present findings and recommendations to senior leadership in a clear, concise, and impactful manner. - Lead and manage data science projects from conception to completion, ensuring timely delivery and alignment with organizational goals. - Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation. Qualifications: - Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Experience in data science, analytics, or a similar role, with at least 4-5 years in a leadership or managerial position. - Proven experience in building and deploying machine learning models and automated solutions. Technical Skills: - Proficiency in programming languages such as Python, R, or Java. - Strong SQL skills and experience with data querying and transformation. - Familiarity with big data technologies like Hadoop, Spark, or AWS. - Experience with data visualization tools such as Tableau, Power BI, or similar. - Knowledge of statistical analysis and machine learning frameworks (e.g., scikit-learn, TensorFlow). Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. - Ability to work collaboratively in a team environment and lead projects with minimal supervision. Preferred Qualifications: - Experience in creating real-time data pipelines and automated alert systems. - Understanding of data governance and compliance practices. - Prior experience in aviation or a customer-centric or high-growth industry is a plus. "At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connections with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their – but not limited to - gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, differently-abled status, marital status, nationality, age, family status, and maternity status"

Responsibilities and Impact Accurately annotate and label data to support the development and enhancement of data products across Commodity Insights. Collaborate with business subject matter experts, product managers and developers to ensure annotations align with the requirements of various commodity data products. Utilize custom tools and workflows to efficiently process and annotate data at speed, minimizing manual input where possible. Participate in training sessions to enhance annotation techniques and deepen understanding of commodity insights products. Contribute to the continuous improvement of annotation guidelines and processes, ensuring they meet the evolving needs across Commodity Insights. What Were Looking For: Basic Required Qualifications Bachelor's degree or equivalent experience in a relevant field. Strong attention to detail and ability to work with complex data sets. Familiarity with data annotation tools and processes. Excellent communication skills to collaborate effectively with team members. Ability to work independently and manage time efficiently in a fast-paced environment. Additional Preferred Qualifications Experience or knowledge in commodity markets or related fields. Proficiency in using data management and annotation software. Demonstrated ability to adapt to new technologies and processes. Strong analytical skills and problem-solving abilities.

Data scientist role 6+yrs exp in Data Science & AI/ML designing, developing, and deploying scalable AI/ML solutions for Big Data GCP preferred, AWS/Azure a plus Gurgaon Call on 7042331616 or drop cv on supreetbakshi@imaginators.co

Job description Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team. Work from office Afternoon shift NO ONLINE INTERVIEW : Role: Data ScientistIndustry Type: IT Services & ConsultingDepartment: Data Science & AnalyticsEmployment Type: Full Time, PermanentRole Category: Data Science & Machine Learning EducationUG: Any GraduateKe

Key Responsibilities Write clean, efficient, and maintainable code based on specifications Collaborate with cross-functional teams to implement new features Troubleshoot and debug applications to optimize performance Stay updated with emerging technologies and industry trends About CompanyAt Nuchange, were at the forefront of healthcare innovation with our flagship solution, Nuacare We are dedicated to revolutionizing hospital operations worldwide, making patient care smarter, faster, and more efficient Join us to be part of this transformative journey and make a meaningful impact on healthcare technology Product Overview Nuacare is more than just software its a leap forward in healthcare advancement Our all-in-one automation platform empowers hospitals to enhance patient care, streamline operations, and reduce costs With Nuacare, innovation becomes a game-changing reality

Key Responsibilities Write clean, efficient, and maintainable code based on specifications Collaborate with cross-functional teams to implement new features Troubleshoot and debug applications to optimize performance Stay updated with emerging technologies and industry trends About CompanyAt Nuchange, were at the forefront of healthcare innovation with our flagship solution, Nuacare We are dedicated to revolutionizing hospital operations worldwide, making patient care smarter, faster, and more efficient Join us to be part of this transformative journey and make a meaningful impact on healthcare technology Product Overview Nuacare is more than just software its a leap forward in healthcare advancement Our all-in-one automation platform empowers hospitals to enhance patient care, streamline operations, and reduce costs With Nuacare, innovation becomes a game-changing reality

Key Responsibilities Write clean, efficient, and maintainable code based on specifications Collaborate with cross-functional teams to implement new features Troubleshoot and debug applications to optimize performance Stay updated with emerging technologies and industry trends About CompanyAt Nuchange, were at the forefront of healthcare innovation with our flagship solution, Nuacare We are dedicated to revolutionizing hospital operations worldwide, making patient care smarter, faster, and more efficient Join us to be part of this transformative journey and make a meaningful impact on healthcare technology Product Overview Nuacare is more than just software its a leap forward in healthcare advancement Our all-in-one automation platform empowers hospitals to enhance patient care, streamline operations, and reduce costs With Nuacare, innovation becomes a game-changing reality

Key Responsibilities Write clean, efficient, and maintainable code based on specifications Collaborate with cross-functional teams to implement new features Troubleshoot and debug applications to optimize performance Stay updated with emerging technologies and industry trends About CompanyAt Nuchange, were at the forefront of healthcare innovation with our flagship solution, Nuacare We are dedicated to revolutionizing hospital operations worldwide, making patient care smarter, faster, and more efficient Join us to be part of this transformative journey and make a meaningful impact on healthcare technology Product Overview Nuacare is more than just software its a leap forward in healthcare advancement Our all-in-one automation platform empowers hospitals to enhance patient care, streamline operations, and reduce costs With Nuacare, innovation becomes a game-changing reality

Company Overview: At Codvo, software and people transformations go hand-in-hand We are a global empathy led technology services company Product innovation and mature software engineering are part of our core DNA Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects Lead the architectural design and implementation of complex AI systems Evaluate and recommend emerging AI technologies and methodologies Drive the adoption of best practices for AI development, deployment, and maintenance Contribute to the strategic planning of AI initiatives, aligning them with business goals Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support Foster a collaborative and innovative team environment Conduct code reviews and ensure code quality Identify and address skill gaps within the team Facilitate knowledge sharing and continuous learning AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions Ensure the performance, reliability, and security of AI systems Drive the development of AI pipelines and infrastructure Lead the integration of AI models with existing systems and applications Troubleshoot and resolve complex technical issues Research & Innovation: Stay abreast of the latest advancements in AI and machine learning Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI Drive research and development efforts to explore new AI technologies Evaluate and prototype new AI solutions Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers Communicate complex technical concepts to both technical and non-technical audiences Provide technical presentations and demonstrations Document technical designs, code, and processes Required Skills and Qualifications: EducationBatchelors or Masters or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects Extensive experience in designing and implementing scalable AI systems Proven experience in leading and mentoring technical teams Deep understanding of machine learning and deep learning algorithms and architectures Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Strong understanding of AI infrastructure and deployment strategies Experience with MLOps best practices Experience with vector databases, and LLM implementations Proficiency in software development principles and best practices Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Soft Skills: Exceptional leadership and communication skills Strong problem-solving and analytical skills Ability to think strategically and drive innovation Excellent interpersonal and collaboration skills Strong presentation skills Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation) Experience with natural language processing (NLP) or computer vision Contributions to open-source AI projects Experience with distributed systems and big data technologies Experience with prompt engineering

About The Role Senior Computer Vision Machine Learning Engineer About Us At Codvo, software and people transformations go together We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection) Develop and maintain datasets, perform data augmentation, and ensure quality training inputs Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML Requirements Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis) Proficiency in Python, C++, TensorFlow, PyTorch Strong understanding of model optimization techniques for edge deployment Hands-on experience with NVIDIA platforms- IGX, Jetson, or Xavier (IGX Orin highly preferred) Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Solid knowledge of vision tasksobject detection, tracking, classification, segmentation Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) Preferred Qualifications Experience in industrial AI, medical imaging, or robotics Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments Familiarity with ONNX, OpenCV, ROS, or GStreamer What We Offer Opportunity to work on cutting-edge AI/edge technology with real-world impact Collaborative and fast-paced engineering culture Flexible working hours and remote work options Competitive salary and benefits package Show more Show less