Job Title: Junior Fullstack AI Engineer Company: Lifesight Job Category: Machine Learning Roles & Responsibilities: Our mission is to make it easy for non\-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. About The Role We are seeking engineers to help build the next generation of AI\-native products. As a Junior Fullstack AI Engineer, you will design, develop, and deploy production systems that integrate modern web technologies with large language models and intelligent agents. You will operate across the entire stack from frontend interfaces to backend systems, data infrastructure, and AI orchestration contributing to products used at scale. This role requires strong engineering fundamentals, high ownership, and the ability to translate ambiguous problems into reliable, scalable systems. Your work to deliver robust, secure, and high\-quality AI\-powered applications. What You Will Do Build Production\-Quality Systems * Design and implement end\-to\-end features across frontend, backend, and data layers * Build scalable, performant web applications using modern frameworks * Develop reliable APIs, services, and backend systems used in production * Write clean, maintainable, and well\-tested code Develop AI\-Powered Applications * Integrate and deploy LLM\-based features using providers such as OpenAI, Anthropic, or Gemini * Design prompts, system instructions, and structured outputs for reliability and correctness * Implement agent workflows, tool calling, and multi\-step reasoning systems * Build retrieval\-augmented generation (RAG) pipelines using embeddings and vector search Design Scalable Backend \& Data Systems * Build and maintain backend services, data pipelines, and integrations * Design database schemas and optimize queries for performance and scalability * Implement caching, asynchronous processing, and background job systems * Ensure system reliability, fault tolerance, and observability Observability Logging, monitoring, tracing, and performance instrumentation Work Location: Bengaluru, Karnataka, India Availability: Full time
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: 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: 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: AI/ML Engineer (5+ Years) | Remote | 15 days to Immediate Joiners Only Company: YMinds.AI Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Design, develop, and deploy machine learning and AI models for business applications. * Build Generative AI applications using LLMs and RAG architectures . * Develop and optimize data pipelines, model training workflows, and inference systems. * Analyze large datasets to identify patterns, generate insights, and improve model performance. * Implement predictive models, classification algorithms, and deep learning solutions. * Integrate AI/ML models and GenAI applications into production systems. * Evaluate model performance and improve accuracy, scalability, and reliability. * Implement model monitoring, testing, and maintenance processes. * Collaborate with data engineering and software teams to deliver scalable AI solutions. Work Location: Bengaluru, Karnataka, 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
Job Title: Senior AI/ML Data Scientist I (P3) Company: Nielsen Job Category: Machine Learning Roles & Responsibilities: Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content \- wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description At Nielsen, we are seeking a Data Scientist to join our team. Are you passionate about pushing the boundaries with the latest advancements in AI/ML? Does the prospect of applying Cutting\-edge AI research to develop industry\-defining software solutions for audience measurement excite you? In this role, you will be at the forefront of our mission, leveraging sophisticated machine learning and AI to deliver a comprehensive understanding of audience behavior. You will architect and implement AI/ML systems that unlock novel insights from complex audience data. Problem \-Solving: Excellent analytical and problem\-solving skills with the ability to break down complex problems into manageable components. Exploratory Data Analysis (EDA): Conduct thorough EDA to understand data characteristics, identify patterns, anomalies, and relationships, and inform model selection and development. Model Evaluation \& Optimization: Implement rigorous model evaluation techniques (e.g., cross\-validation, hyperparameter tuning) and metrics (e.g., accuracy, precision, recall, F1\-score, ROC\-AUC, RMSE, MAE) to assess model performance and optimize models for production. Production Deployment (MLOps Fundamentals): Collaborate with MLOps/DevOps teams to integrate, deploy, and monitor classical ML models in production environments. Understand basic concepts of model serving and API development. Deep Learning and Neural Networks: Move beyond traditional ML algorithms to understand and implement deep learning architectures (CNNs, LSTMs, Transformers) for tasks like image recognition, natural language processing, and sequence modeling. Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django). Good understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow). Demonstrated ability to lead technical projects and mentor team members. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: AI Intern Company: Archle Labs Job Category: Machine Learning Roles & Responsibilities: Role Description We are looking for a highly motivated AI Intern to join our Research \& Development team. In this role, you will work on cutting\-edge Generative AI, NLP, and machine learning applications focused on solving real\-world healthcare and life science challenges. You will be responsible for designing, developing, and deploying intelligent AI systems using modern LLM frameworks, RAG pipelines, and deep learning technologies. This is a high\-impact opportunity to work closely with the CEO and leadership team in a fast\-paced startup environment where innovation and ownership are highly valued. Key Responsibilities * Develop and deploy AI/ML applications using Python * Build and optimize NLP and Generative AI workflows * Design and implement RAG (Retrieval\-Augmented Generation) pipelines * Work with vector databases and embedding models * Develop AI agents and workflows using LangChain and LangGraph * Build scalable APIs and backend services using FastAPI * Perform prompt engineering and optimize LLM performance * Work with Hugging Face models, transformers, and open\-source AI frameworks * Research, test, and evaluate new AI/ML technologies and advancements * Assist in fine\-tuning and optimizing deep learning/LLM models * Collaborate with cross\-functional teams to integrate AI solutions into products * Participate in end\-to\-end model deployment and monitoring * Maintain technical documentation and development workflows * Work closely with leadership on AI product strategy and innovation * Competitive salary and benefits package * Potential ESOP grants based on performance and tenure * Opportunity to work closely with founders, CEO, and leadership team * High ownership role with significant growth potential * Collaborative and innovative work environment * Professional development and research opportunities * Opportunity to work on cutting\-edge AI and healthcare technologies * The chance to make a significant impact on healthcare innovation Work Location: In person Work Location: Karnataka, India Availability: Full time
Job Title: Applied Scientist II, Advertising Trust Company: Amazon.com Job Category: Machine Learning Roles & Responsibilities: This is a hands\-on science role with real ownership. You will work across large multilingual datasets, modern ML and large language model techniques, and tight engineering constraints, partnering closely with other scientists, engineers, and product teams to turn research into measurable customer impact. Key job responsibilities Work Location: Karnataka, India Availability: Full time
