Job Title: Computer Vision Engineer Company: Eternal Job Category: Machine Learning Roles & Responsibilities: About the Role ------------------ * Maintain and improve our perception pipeline, including detecting ripe tomatoes among dense foliage, estimating cut points on stems with sub\-centimeter accuracy, and adapting to new crop types as we expand. * Build and maintain data and model lifecycle infrastructure, from data collection and annotation to model monitoring, drift detection, and retraining across our growing robot fleet. * Create real\-time perception pipelines that process 2D/3D sensor data for robotic decision\-making with sub\-centimeter accuracy. * Optimize vision algorithms for edge deployment on robotic platforms, balancing accuracy with computational efficiency. * Build tools for debugging, analysis, and performance evaluation of your algorithms. Root\-cause failures when things break in production. * Collaborate cross\-functionally with robotics engineers, AI/ML researchers, and crop scientists to deliver end\-to\-end perception solutions. * You own your projects from prototype to production. We expect production\-quality software engineering, not just notebook experiments. We don't have separate research and engineering teams Rapid Innovation: Our software\-first approach means you'll see your models deployed to real robots in hours/days, not months. We've proven we can develop and deploy new perception capabilities over\-the\-air as crops evolve. Flexible Work Culture: Distributed team with offices in Cologne and Bengaluru, following a "follow\-the\-sun" support model for our 24/7 operations. eternal.ag* is building fully automated food production sites that can sustainably produce fresh food year\-round. Backed by world\-class investors and partnering with leading agricultural companies, we're turning the vision of fully\-autonomous greenhouses into reality. Work Location: Karnataka, India Availability: Full time
Job Title: AI ML Developer Company: Scoutit Job Category: Machine Learning Roles & Responsibilities: We're looking for AI ML Developers ! Responsibilities : * Design, develop, train, and optimize Machine Learning and Deep Learning models. * Analyze structured and unstructured datasets to identify business insights and opportunities. * Build and maintain data pipelines for model training and inference. * Develop AI solutions using NLP, Computer Vision, Recommendation Systems, or Predictive Analytics. * Deploy ML models using cloud platforms and MLOps best practices. * Perform feature engineering, model evaluation, hyperparameter tuning, and performance optimization. * Collaborate with Data Scientists, Software Engineers, and business stakeholders. * Monitor model performance and retrain models as required. * Document model architecture, experiments, and deployment processes ( Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.) Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Tech S and T-AI Engineer-ISR-Senior-GDSF02 Company: EY Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Lead and execute AI/ML assessments to evaluate current\-state analytics, automation, and AI maturity across client organizations. * Design and drive AI transformation roadmaps aligned with business objectives, identifying opportunities for predictive analytics, intelligent automation, and Generative AI adoption. * Architect and implement AI/ML solutions leveraging traditional machine learning, NLP, computer vision, and Generative AI technologies. * Build and optimize machine learning pipelines, model training workflows, feature engineering processes, and deployment architectures. * Design and implement Generative AI solutions using Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), AI Agents, and enterprise AI frameworks. * Work closely with business stakeholders to gather requirements, define use cases, prioritize opportunities, and establish measurable success criteria. * Lead proof\-of\-concepts (PoCs), pilots, and production deployments while ensuring scalability, security, and governance compliance. * Develop technical documentation including architecture diagrams, implementation plans, AI solution blueprints, and operational runbooks. * Collaborate with cloud, security, application, and data engineering teams to ensure successful solution delivery. * Stay current with emerging AI technologies, frameworks, and best practices, and provide strategic recommendations to clients. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior AI/ ML Engineer Company: Sandisk Job Category: Machine Learning Roles & Responsibilities: Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry\-leading portfolio of products that are recognized globally for innovation, performance and quality. Description We are seeking a Senior AI/ML Engineer in Data and AI team to drive the design, development, and operationalization of machine learning and GenAI solutions across Sandisk's enterprise. In this role, you will own end\-to\-end AI/ML projects, from problem framing and data strategy through model deployment and monitoring. You will partner directly with business stakeholders to translate complex requirements into scalable, production\-grade solutions and mentor junior engineers on the team. Key Responsibilities * Lead the end\-to\-end design, development, and deployment of machine learning models and GenAI solutions for manufacturing intelligence, yield optimization, supply chain analytics, and enterprise data platforms. * Architect and implement data pipelines, feature stores, and model serving infrastructure on Lakehouse and cloud\-native architectures (Databricks, Azure). * Develop prompt engineering strategies and feedback loops for LLM optimization; capture and normalize LLM interactions into reusable Knowledge Artifacts. * Implement Retrieval\-Augmented Generation (RAG) pipelines, including document parsing, chunking, vectorization, and semantic search using embeddings and vector databases. Support domain\-specific ontologies, taxonomies governance and versioning. * Design agentic workflows using industry\-standard frameworks for autonomous task orchestration and multi\-step reasoning, with safe and controlled execution via constraints, policies, and fallback paths. * Collaborate with cross\-functional teams to define KPIs, success metrics, and business impact measurements for AI/ML initiatives. * Mentor intermediate and junior engineers; conduct code reviews and establish best practices for ML engineering. * Present technical findings and strategic recommendations to senior leadership, distilling complex results into actionable business insights. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Smart Glasses Company: Lenskart Solutions Job Category: Machine Learning Roles & Responsibilities: Bangalore Full\-Time Junior About this role ------------------- We are looking for a skilled Smart Glasses Engineer with expertise in AI/ML, Data Science, and mobile application development across iOS and Android. The candidate will be responsible for developing and integrating intelligent features into smart glasses, enabling seamless connectivity, real\-time data processing, and AI\-powered user experiences. Key Responsibilities Develop and integrate AI/ML solutions for smart glasses and wearable devices. Design, develop, and maintain mobile applications for iOS and Android. Implement computer vision, image processing, and real\-time data analysis capabilities. Build and optimize machine learning models for object recognition, gesture recognition, and contextual assistance. Integrate APIs and SDKs to enable communication between smart glasses, mobile applications, and backend systems. Work with sensor data, device telemetry, and other data sources to improve device functionality. Collaborate with hardware, firmware, and software teams to ensure seamless device integration. Optimize application performance, battery consumption, and processing latency. Conduct testing, debugging, and performance optimization across devices and platforms. Analyze data and model performance to improve accuracy and user experience. ### 3\. Required Technical Skills Strong analytical and problem\-solving skills. Ability to troubleshoot complex technical issues. Understanding of software development and testing best practices. Strong collaboration and communication skills. Ability to work independently and deliver within project timelines. ### 6\. Key Deliverables Work Location: Bengaluru, India Availability: Full time
Job Title: Expert Machine Learning Engineer (Agentic AI, SAP BTP) Company: SAP Job Category: Machine Learning Roles & Responsibilities: As a critical part of SAP’s AI Transformation journey, the mission of the CPIT Order\-to\-Cash (O2C) Team is to drive the implementation of the company’s strategy and achievement of shared business objectives through world class end\-to\-end business processes and systems. Amongst the team’s key objectives are to innovate, standardize, simplify, and automate SAP’s core business processes and assure continuous alignment with the SAP IT portfolio and business stakeholders. In all activities, closing the loop from strategy to execution is key to driving impact for SAP and for our customers. About The Role We are looking for an Expert AI/Agentic Engineer who combines deep hands\-on engineering excellence with a strong architectural mindset. You will design, build, and operate enterprise\-grade AI/ML and Generative AI solutions within the SAP ecosystem \- spanning intelligent assistants, AI copilots, agentic workflows, and RAG\-powered applications. You are first and foremost an engineer who writes production\-quality code, and you bring the architectural thinking to ensure what you build scales, performs, and lasts. You will work at the intersection of cutting\-edge AI engineering and SAP's technology landscape, contributing to systems that deliver measurable business impact. What You Will Do AI/GenAI Engineering \& Architecture * Design and build scalable LLM\-powered applications, intelligent assistants, and AI copilots aligned to business transformation goals. * Architect and implement advanced RAG pipelines, knowledge retrieval systems, and agentic / multi\-agent workflows using commercial and open\-source models. * Write clean, well\-tested, production\-grade code across the full AI application stack \- from data ingestion and embedding pipelines to orchestration logic, API layers, and evaluation harnesses. * Integrate vector databases, semantic search, prompt orchestration, tool/function calling, memory, and context\-aware reasoning into enterprise\-grade solutions. * Optimize prompts, inference pipelines, and evaluation frameworks; contribute to fine\-tuning, alignment, and model optimization efforts. * Independently design scalable, AI\-native application systems \- moving quickly from ambiguity to working, deployable prototypes and iterating through execution. SAP Ecosystem Integration * Build agentic workflows on SAP AI Core and integrate LLM\-based features into CAP /Fiori applications with strong coding standards and maintainability. * Design and implement AI agents for enterprise domains \- including formula explanation, computation assistance, and analytical workflows \- using SAP AI Core and Python as the primary stack; CAP/Java as secondary. * Contribute to the design of ontology\-grounded agents that encode business rules, formula structures, and domain relationships as structured knowledge, enabling reliable agent reasoning beyond prompt\-only approaches. * Architect and deploy solutions on SAP BTP, with hands\-on experience in multi\-tenant SaaS patterns (MTX, service\-manager, IAS/AMS). * Knowledge of SAP Business Data Cloud (BDC) \- including data products, HANA Data Lake, Delta Sharing, and the semantic layer \- is a strong advantage. Platform, LLMOps \& Observability * Establish and implement LLMOps practices covering deployment, monitoring, observability, governance, and guardrails \- with hands\-on implementation, not just design. * Instrument OTEL tracing across microservice fleets and build Cloud Logging dashboards for cross\-service visibility. * Optimize latency, throughput, and cost efficiency \- including HANA Cloud query optimization and AI Core inference cost management. * Apply SRE principles in practice: monitoring, alerting, incident response, and root cause analysis. * Build and own evaluation and benchmarking frameworks that measure AI system quality, reliability, and performance \- including domain\-specific test harnesses validating LLM outputs against known good results. Research, Innovation \& Collaboration * Contribute to PoCs, accelerators, and reusable AI solution ; actively participate in innovation incubation. * Support publication of technical white papers and assets; contribute to patent ideation where applicable. * Partner with platform, data, product, and business teams to design robust, production\-ready solutions. * Mentor junior engineers, conduct rigorous code reviews, and raise the engineering bar across the team. 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: 459241 \| 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: Manager AI/ML Engineering Company: Optum India Job Category: Machine Learning Roles & Responsibilities: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities * Design, develop, and deploy advanced GenAI and NLP solutions to solve complex business and healthcare problems, using state‑of‑the‑art transformer models, LLMs, and modern ML frameworks * Lead research, evaluation, and integration of new LLMs (GPT, Claude, Gemini, Anthropic), vector search technologies, prompt‑engineering techniques, and enterprise GenAI platforms * Build and optimize Retrieval‑Augmented Generation (RAG) systems using vector databases (FAISS, Pinecone, Chroma), improving grounding, retrieval accuracy, and overall system reliability * Architect and implement agentic AI workflows using frameworks like LangGraph, AutoGen, CrewAI, or Semantic Kernel, enabling single‑agent and multi‑agent systems for reasoning, planning, and tool‑calling * Drive the development of high‑quality NLP pipelines\-including tokenization, embeddings, seq‑to‑seq models, evaluation metrics, and domain adaptation\-with a focus on performance, scalability, and robustness * Perform advanced data analysis, preprocessing, and feature engineering to ensure data quality, reduce noise, and improve model reliability * Develop and maintain scalable big‑data pipelines for ingestion, processing, and analysis, working with structured and unstructured datasets * Optimize model inference, latency, and throughput, including integration with LLM gateways, guardrails, filters, and enterprise evaluation frameworks * Scientist Responsibilities: (manager discretion if AI responsibilities are already present in JD): + Collaborate with research, engineering, and product teams to translate cutting\-edge AI advancements into production\-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle * Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re\-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Sr MTS Machine Learning Engineer Company: eBay Job Category: Machine Learning Roles & Responsibilities: At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. About The Team And The Role Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with. As a Sr MTS Machine Learning Engineer, you will serve as a senior technical leader for high\-impact ML initiatives. You will help set direction, define engineering approaches, guide experimentation, and work hands\-on with researchers and engineers to bring ML systems into production. The candidate will work closely with leaders and other teams from our globally distributed Ads organization, including product managers, design, and analytics leaders to brainstorm and enable future personalized e\-commerce shopping experiences. This is a shared technical lead role across Ads teams and will support the needs of Recommendations Ads, Search Ads, and Ads Guidance. What You Will Accomplish * Provide technical leadership to a team of engineers for ML initiatives across Ads and marketplace discovery * Champion software engineering best practices, including code reviews, testing, and documentation, within the machine learning team * Design, build, and operate scalable backend and ML systems supporting sponsored experiences, ranking, retrieval, and personalization * Collaborate closely with Applied Researchers to translate novel algorithms and research prototypes into hardened, production\-ready code * Mentor other team members through code reviews, technical guidance, architecture design, and pair programming * Drive measurable customer and business impact through disciplined A/B testing and iteration Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Computer Vision Engineer Company: eternal.ag Job Category: Machine Learning Roles & Responsibilities: About the Role ------------------ * Maintain and improve our perception pipeline, including detecting ripe tomatoes among dense foliage, estimating cut points on stems with sub\-centimeter accuracy, and adapting to new crop types as we expand. * Build and maintain data and model lifecycle infrastructure, from data collection and annotation to model monitoring, drift detection, and retraining across our growing robot fleet. * Create real\-time perception pipelines that process 2D/3D sensor data for robotic decision\-making with sub\-centimeter accuracy. * Optimize vision algorithms for edge deployment on robotic platforms, balancing accuracy with computational efficiency. * Build tools for debugging, analysis, and performance evaluation of your algorithms. Root\-cause failures when things break in production. * Collaborate cross\-functionally with robotics engineers, AI/ML researchers, and crop scientists to deliver end\-to\-end perception solutions. * You own your projects from prototype to production. We expect production\-quality software engineering, not just notebook experiments. We don't have separate research and engineering teams Rapid Innovation: Our software\-first approach means you'll see your models deployed to real robots in hours/days, not months. We've proven we can develop and deploy new perception capabilities over\-the\-air as crops evolve. Flexible Work Culture: Distributed team with offices in Cologne and Bengaluru, following a "follow\-the\-sun" support model for our 24/7 operations. eternal.ag* is building fully automated food production sites that can sustainably produce fresh food year\-round. Backed by world\-class investors and partnering with leading agricultural companies, we're turning the vision of fully\-autonomous greenhouses into reality. Work Location: Bengaluru, India Availability: Full time
Job Title: Deals Advisory - AI Engineer (Topic Research) - Senior Associate Company: PwC Acceleration Center India Job Category: Machine Learning Roles & Responsibilities: As a Deals Advisory \- AI Engineer \- Senior Associate, you will join our AI Research team, serving as a pivotal member in exploring AI technologies and methodologies relevant to both our business and clients. Within our Deals practice, you will engage in a collaborative environment that values curiosity and practical problem\-solving, focusing on translating AI developments into impactful insights for the firm and our clients. As a Senior Associate, you will leverage your skills to analyze complex problems, mentor junior team members, and maintain professional standards. You will build meaningful client connections and develop a deeper understanding of the business context, navigating complexity and embracing ambiguity to deliver quality work. Responsibilities * Conducting rapid experiments to evaluate emerging AI tools, models, and techniques * Designing clear hypotheses, success metrics, and evaluation criteria for AI experiments * Documenting experiment outcomes, key learnings, and limitations for internal stakeholders and clients * Producing client\-ready insights and supporting technical demos and deep dive sessions * Monitoring, evaluating, and experimenting with emerging AI technologies and trends * Utilizing Python to write maintainable code following best practices * Building agents using frameworks like LangGraph, AutoGen, and CrewAI * Deploying machine learning workloads to cloud platforms such as Azure, AWS, or GCP * Implementing automated testing pipelines for model performance * Applying knowledge of model optimization techniques, including quantization and distillation * Leveraging experience with large language models and APIs for platforms like Azure and OpenAI * Collaborating with the AI Research team to translate AI developments into impactful thought leadership Work Location: Bengaluru East, Karnataka, India Availability: Full time
