Job Title: Data Scientist Company: SAP Job Category: Machine Learning Roles & Responsibilities: This is an early\-career role for engineers and scientists who are sharp, curious, and ready to do real work on hard problems from day one. * Support the design and maintenance of enterprise ontologies and semantic models that give AI agents accurate, grounded understanding of SAP and connected business landscapes — learning how data from SAP, Salesforce, Workday, ServiceNow, MES/IoT systems, and external providers gets harmonized into unified semantic layers. * Contribute to AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding that make SAP's agents accurate and reliable in production. * Develop and iterate on AI solutions — including generative AI and LLM\-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. * Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order\-to\-Cash, Procure\-to\-Pay, Record\-to\-Report, and Plan\-to\-Produce — and apply that context to ground AI solutions in real enterprise reality. * Work with modern cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP, gaining hands\-on experience with scalable AI workflows. * Collaborate across product, engineering, and business teams to understand how ambiguous business challenges get translated into concrete AI solutions, and contribute meaningfully to that process from early stages through deployment. * Apply machine learning, deep learning, and statistical modeling to build and evaluate AI solutions using real\-world enterprise datasets. Where you belong Join SAP SuccessFactors at a pivotal point in the evolution of enterprise AI, where we are moving beyond traditional applications and analytics toward intelligent, autonomous agents that can understand HCM context, reason over trusted business data, and help customers make better workforce decisions. As part of the SuccessFactors Line\-of\-Business, you will work at the intersection of HCM domain expertise, enterprise data, applied AI, and agentic technologies—helping shape how employees, managers, HR leaders, and businesses interact with SAP through intelligent experiences. You will collaborate with product, engineering, data, and research teams to ground autonomous agents in SuccessFactors business processes, semantics, policies, and data, while building solutions that are accurate, responsible, secure, and scalable. This is an opportunity to work on high\-impact problems across the employee lifecycle, from recruiting and talent to workforce planning, analytics, and people intelligence, and to play a foundational role in defining the next generation of AI\-powered HCM at SAP. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end\-to\-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose\-driven and future\-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Requisition ID: 459679 \| Work Area: Software\-Design and Development \| Expected Travel: 0 \- 10% \| Career Status: Professional \| Employment Type: Regular Full Time \| Additional Locations: Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Associate, Machine Learning and AI Applications Company: Quantmatrix AI Solutions Job Category: Machine Learning Roles & Responsibilities: You will have the opportunity to work on cutting\-edge AI technologies, develop intelligent agents, build predictive models and contribute to Trinity, our proprietary AI and analytics platform. Role: Associate, AI and ML Engineer Responsibilities * Understand business problems and design AI/ML solutions * Understand business objectives, data and analytical requirements. * Identify opportunities to apply Machine Learning, Generative AI and Agentic AI. * Evaluate alternative algorithms, architectures and solution approaches. * Collaborate with Data Scientists, Product Engineers and Business Analysts to define solutions. * Develop AI and Machine Learning solutions * Build, train, evaluate and optimize ML models for regression, classification, forecasting and other analytical applications. * Develop solutions using Large Language Models (LLMs), including prompting, structured outputs, Retrieval\-Augmented Generation (RAG) and tool calling. * Build AI agents capable of reasoning, planning, using tools and executing multistep workflows. * Experiment with frameworks such as LangChain, LangGraph and other AI orchestration technologies. * Evaluate models and agents for accuracy, reliability, efficiency and performance. * Build scalable AI capabilities and products * Convert AI/ML prototypes into robust, reusable and production\-ready capabilities. * Develop APIs, tools and integrations to embed AI capabilities into Trinity. * Work with structured and unstructured data, vector databases and external data sources. * Implement testing, monitoring, evaluation and continuous improvement of AI/ML solutions. * Collaborate with Product and Engineering teams to ensure scalability, security and maintainability. * Drive innovation and business impact * Explore emerging AI technologies, models and frameworks. * Rapidly prototype new ideas and assess their practical applications. * Work with internal teams and clients to validate solutions and demonstrate business value. * Contribute to building reusable AI/ML intellectual property and capabilities. Work Location: In person Work Location: Maharashtra, India Availability: Full time

Job Title: Semantic AI/ML Engineer Company: Luxoft Job Category: Machine Learning Roles & Responsibilities: We are seeking a Senior Semantic Engineer to implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry\-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context. ##### Responsibilities Ontology Design \& Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar) that model key enterprise data domains and relationships, ensuring a consistent and shared data vocabulary across the organization. This includes collaborating with domain experts to capture real\-world concepts and validate that the ontology accurately represents business knowledge. Knowledge Graph Development: Build and manage enterprise knowledge graphs based on the defined ontologies, linking diverse data sources into a unified graph data model. This involves configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability. Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints that support advanced search and analytics use cases, making it easier for others to retrieve insights from linked data. Validation Rules \& Data Quality: Implement semantic validation rules and consistency checks (e.g., using SHACL or OWL constraints) to ensure data integrity and quality within the ontology and knowledge graph. You will define and enforce data modelling conventions and business rules so that enterprise data conforms to the ontology's standards and remains interoperable across systems. Collaboration \& Cross\-Functional Support: Collaborate with cross\-functional teams and stakeholders. For example, partner with AI/ML teams to incorporate the knowledge graph into AI\-driven solutions, and team up with business analysts or data stewards to align the semantic models with business needs. You will communicate semantic concepts to non\-technical stakeholders, providing training or documentation to ensure adoption of the semantic framework across the organisation. Integration with AI Agents: Work with AI agents and large language model (LLM) teams to leverage the ontology and knowledge graph for intelligent applications. For instance, you might enable an AI chatbot to use the knowledge graph for more context\-aware responses, or develop mechanisms for AI systems to perform reasoning over the ontologies. This responsibility ensures that semantic data structures enhance AI initiatives (e.g. improving context, disambiguation, and knowledge retrieval in AI workflows). Standards \& Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices for semantic data management, promoting a culture of well\-structured, semantically\-rich data across the enterprise. Ontology Design \& Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar). Work Location: Telangana, India Availability: Full time

Job Title: Machine Learning Engineer III, Monk Company: ACV Auctions Job Category: Machine Learning Roles & Responsibilities: ACV Auctions in Chennai, India are looking for talented individuals to join our team. As we expand our platform, we're offering a wide range of exciting opportunities across various roles in corporate, operations, and product and technology. Our global product and technology organization spans product management, engineering, data science, machine learning, DevOps and program leadership. What unites us is a deep sense of customer centricity, calm persistence in solving hard problems, and a shared passion for innovation. If you're looking to grow, lead, and contribute to something larger than yourself, we'd love to have you on this journey. Let's build something extraordinary together. Join us in shaping the future of automotive! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. Who We Are Looking For Monk is leading the way in AI\-driven innovation with its advanced damage detection technology for vehicles, enabling seamless integration into web and native applications via APIs. Our machine learning expertise is trusted by global leaders like our parent company ACV Auctions (USA), CAT Logistics (Europ Getaround (France), Autobiz (Europe), and Hgreg (Canad We are looking for a Machine Learning Scientist in Computer Vision who thrives on taking ownership, delivering impactful results, and driving innovation. If you're someone who can align with business needs, ensure timely delivery, and elevate the team's capabilities, we’d love to have you on board. This role is your opportunity to lead game\-changing projects, create tangible value, and shape the future of AI technology in the automotive space. What You Will Do * Own the end\-to\-end development of machine learning models and datasets to solve critical business challenges and meet product needs. * Drive innovation by continuously tracking and integrating state\-of\-the\-art advancements of computer vision and deep learning into Monk’s AI solutions * Identify and solve key business problems with data\-driven, actionable insights. * Deliver high\-impact results through meticulous planning, rigorous testing, and smooth deployment of machine learning solutions. * Mentor and support junior team members, cultivating a culture of excellence and collaboration. * Machine Learning Scientist CV Collaborate with product, business, and technical teams to align on priorities, estimate efforts, and adapt to feedback. * Ensure long\-term reliability and scalability through robust documentation and testing practices. Data Processing Consent When you apply to a job on this site, the personal data contained in your application will be collected by ACV Auctions Inc. and/or one of its subsidiaries ("ACV Auctions"). By clicking "apply", you hereby provide your consent to ACV Auctions and/or its authorized agents to collect and process your personal data for purpose of your recruitment at ACV Auctions and processing your job application. ACV Auctions may use services provided by a third party service provider to help manage its recruitment and hiring process. For more information about how your personal data will be processed by ACV Auctions and any rights you may have, please review ACV Auctions' candidate privacy notice here. If you have any questions about our privacy practices, please contact datasubjectrights@acvauctions.com. Work Location: Chennai, Tamil Nadu, India Availability: Full time

Job Title: Specialist - Architecture Company: LTM Limited Job Category: Machine Learning Roles & Responsibilities: Role description Role Software Engineer Full Stack Developer A position of Full Stack Developer has just been opened within our company Your mission is to implement technical development of user stories in the context of Automated and Optimized Production Planning You will contribute to build and operate a core business product aiming at automatizing and optimizing aircraft planning Within the Commercial Information Management IM organisation the jobholder will contribute to the success of one IM core product The overall management of the production planning of AC from customer offer contract signature to aircraft delivery in coordination with Sales Engineering Operations and Delivery Center functions The proposed job is at the crossroads of this very challenging strategy and the digital transformation of as a whole The Candidate will create prototypes and dashboards and work with product managers customers data analysts and solution architects to industrialize these disruptive products The product will evolve incrementally following agile development and progressively entering operational mode The followed methodology is based on SAFe Scaled Agile Framework The designed web application is developed and hosted on PalantirFoundry using latest technologies such as Slate Javascript etc Backend is PySpark and related RDS Knowledge about dashboarding and working with datasets are required Solid customer service skills and interpersonal skills Critical thinking skills and attention to detail Good judgement initiative commitment and resourcefulness Profi cient with Skywise platform and tools eg Contour CodeWorkbook CodeSlate and Ontology defi nitions Knowledge of airline and MRO operations preferred AWS Cloud Services Skills on services such as EC2 RDS and Redshift Good to have Good to have skills Experience in test automation Working experience in AgileScrum SAFe andor Kanban projects Already experienced working in remote with colleagues based in EU is a plus Excellent and adaptive communication capabilities with diverse audiences Showing capabilities for improving agility Entrepreneurship innovative spirit Act as a team player adaptive collaborative mindset and ways of working with others Ability to lead a development team to ensure good software architecture code quality and team development performance Experience in Palantir tools like Slate Workshop is a plus Responsibilities Interact with and work collaboratively with product teams Analyse and organise raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Combine raw information from different sources Explore ways to enhance data quality and reliability Independently develop solutions workfl ows small apps and dashboards on the Skywise platform Collaborate with peers from other teams to deliver best in class solutions workfl ows small apps and dashboards to end users in the airlines Strong airline domain knowledge to engage with airline end users to articulate the pain points business requirements of the airline endusers Create a repository of solutions developed This job requires the constant awareness of the compliance risks we face in daytoday responsibilities Continuous commitment to act with integrity with each other with your communities business partners and suppliers is the foundation of your success and sustainable growth The commitment to integrity is suppor Work Location: Karnataka, India Availability: Full time

Job Title: AI/ML Engineer (Data Engineering + AI Focus) Company: MAERSK Job Category: Machine Learning Roles & Responsibilities: A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. In this role as an AI/ML Engineer within the Global Data \& Analytics (GDA) team, you will build and scale data\-intensive AI/ML solutions that power intelligent decision\-making across Maersk’s supply chain ecosystem. This role combines strong data engineering foundations with applied AI/ML expertise, enabling the development of robust data pipelines, scalable ML systems, and production\-grade AI applications. Key Responsibilities: * Partner with business, product, and engineering teams to define scalable data and AI/ML solutions aligned with measurable business outcomes. * Design, build, and maintain robust data pipelines and data platforms using Python, Spark/PySpark, and cloud\-native services. * Develop and deploy end\-to\-end AI/ML solutions, including data ingestion, feature engineering, model training, evaluation, and production deployment. * Architect and optimize large\-scale data processing systems on cloud platforms (Azure/AWS), ensuring performance, reliability, and cost efficiency. * Implement and manage MLOps and DataOps practices, including CI/CD pipelines, model versioning, monitoring, and automated retraining. * Work with LLMs and Generative AI systems, integrating them into production workflows using frameworks such as LangChain, LlamaIndex, or similar. * Design and maintain data models (batch and streaming) that support analytics, reporting, and AI use cases. * Ensure data quality, governance, and observability across pipelines and ML systems. * Optimize infrastructure and workloads for cost, scalability, and performance, including efficient use of compute and storage. * Collaborate with engineering teams to deploy solutions using containerization and orchestration (Docker, Kubernetes). * Mentor junior engineers and contribute to engineering excellence through code reviews and best practices. * 7\+ years of experience across Data Engineering and AI/ML engineering in production environments. * Strong programming skills in Python and SQL, with hands\-on expertise in Spark/PySpark for large\-scale data processing. * Deep experience with cloud platforms (Azure or AWS), including services for data engineering, ML, and distributed systems (e.g., Databricks, Synapse, EMR, S3, ADF, etc.). * Hands\-on experience in building and deploying scalable data pipelines and ML systems. * Strong understanding of data modeling (data lakes, lakehouse, warehouse, medallion architecture). * Experience with MLOps frameworks (e.g., MLflow) and production model lifecycle management. * Practical experience with LLMs / Generative AI applications, including RAG, document processing, or workflow automation. * Experience with containerization (Docker) and orchestration (Kubernetes). * Strong understanding of system design, scalability, and cost optimization in cloud environments. * Experience with data quality, observability, and monitoring frameworks. * Ability to translate business problems into scalable technical solutions with measurable impact. * Prior experience in logistics, supply chain, or operations is a plus. * Experience in simulation, optimization, or operations research is an added advantage. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com . CORE SKILLS Programming: Writing code to manipulate, analyze, and visualize data, often using languages like Python, R, and SQL. Proficiency Level: Proficient AI \& Machine Learning: Creating systems that can perform tasks that typically require human intelligence. Using Machine learning (ML), a subset of AI that uses algorithms to learn from and make predictions based on data Proficiency Level: Proficient Data Analysis: Inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision\-making Proficiency Level: Foundational Machine Learning Pipelines: Using automated workflows that manage the end\-to\-end process of training and deploying machine learning models. Proficiency Level: Proficient Model Deployment: Making a trained machine learning model available for use in production environments. Proficiency Level: Proficient SPECIALIZED SKILLS Big Data Technologies: Using continuous integration and continuous delivery (CI/CD) pipelines to automate the process of software development, including building, testing, and deploying code Natural Language Processing (NLP): Focusing on the interaction between computers and humans through natural language. Data Architecture: Designing and structuring of data systems, ensuring that data is stored, managed, and utilized efficiently Data Processing Frameworks: Using tools and libraries to process large data sets efficiently, such as Apache Hadoop and Apache Spark. Technical Documentation: Creating and maintaining documentation that explains the functionality, use, and maintenance of software or systems. Deep Learning: Using a subset of machine learning involving neural networks with many layers, used to model complex patterns in data. Statistical Analysis: Collecting and analyzing data to identify patterns and trends, and to make informed decisions. Data Engineering: Designing and building systems for collecting, storing, and analyzing data at scale. Definition of Proficiency Levels: Foundational: This is the entry level of the skill, typically expected when starting a new role or working with the skill for the first time. You rely on strong manager support, coaching, and training as you build the capability to progress to higher proficiency levels. Proficient: This is the level at which you are considered effective in the skill. You demonstrate more than just functional competence—you begin to have a noticeable impact in your role by applying the skill consistently and meaningfully. You require only minimal support, coaching, or training to apply the skill successfully. Advanced: This is the level where you move beyond meeting expectations to actively leading, influencing, and delivering considerable impact across the wider business. You are seen as a role model, demonstrate the skill independently, and require little to no manager support. Work Location: Karnataka, India Availability: Full time

Job Title: Advanced Analytics Developer Company: Crowe Capability Center - India Job Category: Machine Learning Roles & Responsibilities: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well\-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80\-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI\-enabled insights and technology\-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: As a Data Analytics Manager at Crowe, you will provide critical solution development across a broad portfolio of external clients and industries. You retain a combination of functional knowledge and execution skills in leveraging SQL, SSAS, PySpark, Power BI, Tabular Editor, Microsoft Fabric, and other Microsoft BI stack products. Accounting or Finance background a huge plus. The ideal candidate will have a deep understanding of Business Intelligence processes and technologies, as well as experience with a variety of data sources, modeling techniques, and advanced visualizations. We prefer candidates with a strong client facing, consulting background and business accounting/finance acumen. Specific responsibilities include but are not limited to: * The shift timings for this role is 5:00PM \- 2:00AM IST (7:30AM \- 4:30PM ET) * Perform duties related to business analysis, such as scoping, documentation, project management, and related activities to establish an engagement blueprint * Interface and communicate with subject matter experts of varied backgrounds to adequately assess business intelligence requirements and execution strategy * Rapidly develop diverse POCs from various data sources and systems * Clean, transform, and blend large and disparate data sources while leveraging SQL EDW, M, and DAX best practices * Leverage Tabular Editor, ALM Toolkit, and DAX Studio to quickly and efficiently perform model operations across complex deliverables * Perform ad\-hoc data discovery using tools such as Power BI, SQL, or Excel * Create visually stunning and salient reports using tools such as Power BI or Tableau (additional tools a major plus) * Deploy, provision, and manage Power BI workspaces and deliverables * Possess effective writing and communication skills for audiences of diverse business and technical backgrounds * Work with data engineers and other stakeholders to define data requirements * Balance multiple projects with attention to detail while meeting deadlines * Continuously improve processes with advancements in the MS BI platform * Master's or Bachelor's degree in a relevant field (such as Computer Science, Information Systems, Data Science, or a related discipline). * 8\+ years of experience in a data analyst, developer, architect, or similar position * 7\+ years of advanced experience with DAX, M, SQL, and Power BI * 5\+ years of experience in creating dashboards and deploying to clients * 3\+ years of experience in Power BI Service delivery and Admin role and responsibility * 1\.5\+ years of experience in leveraging ETL SaaS tools (Talent, Stitch, Hevo, etc.,) or ADF Integration * Expert knowledge of creating and optimizing dimensional models * Strong leadership, team management, and communication skills. * Ability to mentor and train junior ETL developers * Solid understanding of software development life cycle models as well as expert knowledge of both Agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment * Expert skills in Microsoft Excel and Outlook, strong skills in PowerPoint * Strong track record of developing high\-quality models on\-premise and/or in the cloud * Excellent client\-facing and internal communication skills * Excellent written and verbal communication skills * Effectively managing multiple deliverables, clients, and projects in a fast\-paced environment * Knowledge of programming languages like SQL, Python, R, or Java. * Familiarity with data governance, data security, and compliance. * Solid understanding of software development life cycle models as well as expert knowledge of both Agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment * Technical background, with understanding or hands\-on experience in enterprise solutions for different industries * High\-level knowledge of BI architecture or data warehousing * Excellent written and verbal communication skills * Effectively managing multiple deliverables, clients and projects in a fast\-paced environment * Strong problem\-solving skills and analytical thinking. Key Stakeholders This Role Interacts With * Senior BI Analyst * Data Product Manager * BI Architect / Senior Architect * Data Engineers * Analytics Developers (Power BI, Tableau) * C\-Suite Executives (CEO, CFO, CIO, etc.) * Clients Operations Leads and Mid\-Level Managers * Data Owners, Data Stewards * Enterprise Information Management and Data Governance Team * IT Staff – Architects, DBAs, Developers, etc. We are committed to a merit\-based hiring process, evaluating all candidates consistently using objective, job\-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role’s responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination. Work Location: Uttar Pradesh, India Availability: Full time

Job Title: AI Engineer Company: Nexperia Germany GmbH Job Category: Machine Learning Roles & Responsibilities: Nexperia is a world\-class company in semiconductor development and in\-house production. We form a global network of talent, with passion and performance, perseverance and professionalism. Join TeamNexperia and become part of a leading company that supports, rewards and challenges you equally, in a dynamic environment, working for world\-class results. Talk to us today and learn your true capabilities in an energetic company where you will develop and thrive, the Efficiency Company – Nexperia. About the role This is the senior build role for Nexperia's agent engineering practice in Bangalore. You own the architecture of the agents themselves — reasoning, planning, tool\-calling and memory — and you own the surfaces people actually use them through: chat UI, IDE extensions, CLI tools and the APIs behind them. This is a hands\-on role. You are still writing and reviewing code, still debugging orchestration failures when something breaks in production, and still accountable for what ships — not a role that manages from a distance. What you will do * Design agent architecture: reasoning loops, planning, tool\-calling and memory/context management. * Build multi\-step orchestration: task decomposition, tool selection and error recovery. * Partner with the Integration Architect on connecting agents to IDEs and internal systems. * Own the build of user\-facing surfaces for Copilot\-style products: chat UI, IDE extensions and CLI tools. * Build the backend APIs that connect those surfaces to agent and LLM services, including streaming responses, session state and context handling. * Ship integrations into developer tools (VS Code extension API, LSPs, browser extensions) and own deployment of both the frontend and backend components you build. * Review code and agent designs from the two Junior AI Engineers, and mentor them toward independent ownership. * Define the agent quality bar with the MLOps/eval function before anything ships, and work with that function on the CI/CD, monitoring, versioning/rollback and observability an agent needs once it's live. * Own the governance bar for citizen\-built agents — what "safe to ship" means for security, data access, cost and quality — in partnership with security/compliance and the Integration Architect. * Publish and maintain the standards — prompting, evals, architecture patterns — that spoke teams build against. * Own the design of the self\-service component catalog spokes build on top of, and the support model — office hours, an embedded rotation, or a ticket queue — for citizen developers using it We have kept this list to what the role truly requires. If this role excites you and you meet most, but not all, of these points, we encourage you to apply. * Strong in React/TypeScript for frontend work, and Node.js or Python for backend work. * Experience with CI/CD tooling (GitHub Actions, Jenkins or similar), cloud infrastructure (AWS, Azure or GCP) and containers (Docker, Kubernetes). * Observability tooling — Datadog, Prometheus/Grafana, or LLM\-specific tools like LangSmith or Arize — and familiarity with LLMOps practices: prompt versioning, eval pipelines, cost tracking. * Working knowledge of auth and session management, and awareness of security and compliance considerations for AI systems. * Experience in the manufacturing industry, preferably semiconductor, is a plus. * Experience or interest in developer enablement or platform engineering — documentation, SDKs, or internal tooling built for non\-specialist users, not just for your own team. * Real ownership: you set the architecture and the quality bar for agents that ship to real users, not just a reference design others build from. * A mentoring role with teeth: two Junior AI Engineers are counting on your reviews, and Nexperia measures you on their growth as much as on your own output. * You're measured not only on what the Hub ships, but on how many spoke teams successfully ship agents using what you've published. * Global exposure from Bangalore: you work with the AI and Data Centers of Enablement, the Integration Architect, platform engineering, security and compliance, with visibility up to the CIO and IT Management Team. * A team that values structured thinking, intellectual honesty about trade\-offs and good documentation over heroics. In addition, we offer our colleagues the possibility to join employee resource groups such as the Pride Network Group or global and local Women's groups. Nexperia is committed to increasing women in management positions to 30% by 2030\. Work Location: Karnataka, India Availability: Full time

Job Title: Data Pipelie Delivery- Senior Analyst Company: MUFG Job Category: Machine Learning Roles & Responsibilities: Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long\-term relationships, serving society, and fostering shared and sustainable growth for a better world. Job Description: The Enterprise Data \& Data Capabilities team in Technology is focused on a transformative journey that supports our data strategy, including how we develop and deliver critical business outcomes and how we engage with partners across MUFG for Data, AI, and BI services. Our team is seeking an experienced and delivery\-focused professional to join as Data Engineer, AI\-Assisted Data Pipeline Development , responsible for designing, developing, and modernizing enterprise data pipelines. The role requires hands\-on expertise in Snowflake, Python, SQL, and modern data engineering practices, with strong exposure to AI\-assisted development techniques that improve pipeline productivity, data quality, automation, and delivery outcomes. The role involves close collaboration with data services teams, technology partners, product owners, business stakeholders, architects, and senior leadership. The successful candidate will lead and contribute to data pipeline design, ingestion strategy, transformation logic, testing, monitoring, documentation, governance alignment, and delivery execution across enterprise data platforms, AI\-enabled solutions, and agile delivery practices. Responsibilities: * Lead the analysis, validation, cleansing, enrichment, and preparation of data from multiple sources for reporting, analytics, operational, and AI\-enabled use cases. * Design, develop, test, optimize, and monitor AI\-assisted data ingestion pipelines that deliver structured and unstructured data into enterprise platforms, with a strong emphasis on Snowflake\-based environments. * Apply AI\-assisted pipeline development approaches to accelerate Python\-based data preparation, transformation logic, orchestration support, code generation, troubleshooting, and creation of model\-ready datasets for generative AI and analytics workflows. * Define and maintain technical documentation covering data mappings, transformation rules, lineage, quality controls, operational procedures, runbooks, and production support processes. * Develop advanced SQL queries, data profiling routines, reconciliation controls, and exception handling processes to identify data issues, anomalies, performance gaps, and improvement opportunities. * Partner with reporting and analytics teams to design and maintain dashboards, reports, and data products that provide timely, trusted insights to business and technology stakeholders. * Own or contribute to testing strategies for ETL/ELT pipelines, including test planning, automation opportunities, defect management, performance validation, and release readiness documentation. * Embed data governance, metadata management, data quality, privacy, security, and auditability standards into pipeline design and day\-to\-day delivery. * Collaborate with cross\-functional teams to interpret business requirements, shape technical solutions, estimate delivery effort, manage dependencies, and translate requirements into scalable pipeline and data product deliverables. * Monitor production data jobs, issue triage, analyze logs and data exceptions, coordinate remediation, and support continuous improvement of operational stability and reliability. * Maintain high\-quality delivery documentation in Jira, Confluence, and Microsoft Office to support auditability, transparency, knowledge sharing, and stakeholder communication. Provide technical guidance to junior team members and stay current with emerging AI, Snowflake, data engineering, and analytics technologies to drive practical improvements in delivery practices. * Work Location: India Availability: Full time

Job Title: STAFF, DATA SCIENTIST Company: Walmart Global Tech India Job Category: Machine Learning Roles & Responsibilities: About Team The Corporate Technology Services data science team at Walmart Global Tech leverages advanced machine learning, agentic AI, and optimization methodologies to address complex business challenges. The team conducts comprehensive data analyses, develops predictive models, and implements machine learning algorithms, while also creating intelligent AI agents that support autonomous, data\-driven decision\-making. Collaborating closely with engineering teams, we design and execute scalable machine learning pipelines, agentic workflows, and resilient reference architectures on large\-scale data platforms to deliver production\-grade solutions. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is CTS. Joining CTS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. What you will do Design , develop and deploy AI\-enabled products to build solutions in Fintech domain Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Strong stakeholder\-management skills, with the ability to work closely with both technical and non\-technical partners. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people\-led and tech\-empowered. Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our \[Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Work Location: Bengaluru, Karnataka, India Availability: Full time