Job Title: Geospatial and Remote Sensing Engineer Company: ETEBAS Job Category: Machine Learning Roles & Responsibilities: Job Description ETEBAS is a technology\-driven organization focused on building intelligent, data\-driven solutions across business and enterprise use cases. The role brings together geospatial engineering, remote sensing, machine learning, and data science to develop scalable analytics and AI\-driven products using geospatial and other structured datasets. About the Role As a Geospatial \& AI/ML Engineer, you will work across geospatial data processing, satellite imagery, remote sensing, machine learning, and predictive analytics. You will design and implement data and ML pipelines, develop geospatial analytics, build and validate machine learning models, and collaborate with Engineering, Product, Data Science, and Geospatial teams to take solutions toward production. Key Responsibilities Develop and maintain Python\-based geospatial data processing pipelines. Build geospatial analytics solutions for agriculture, land use, environmental monitoring, and related use cases. Process and interpret SAR (Synthetic Aperture Radar) datasets. Develop and optimize spatial databases and workflows using PostGIS and Google Earth Engine (GEE). Design, develop, evaluate, and deploy machine learning models for classification, forecasting, recommendation, risk analytics, and other predictive use cases. Build and optimize feature engineering pipelines; perform exploratory data analysis, statistical modeling, model validation, and performance monitoring. Work with structured, financial, and geospatial datasets to develop predictive analytics and AI\-driven solutions. Machine Learning: Machine Learning Algorithms, scikit\-learn, XGBoost, PyTorch ML Engineering: Feature Engineering, Model Evaluation \& Validation, MLflow, Experiment Tracking \& Management, Model Versioning, Production Deployment Concepts The responsibilities and skills outlined above are indicative and not exhaustive. The role may evolve based on business priorities, technological advancements, project requirements, and organizational growth. The selected candidate may be assigned additional responsibilities aligned with ETEBAS’s strategic objectives and operational needs Work Location: In person Work Location: Karnataka, India Availability: Full time
Job Title: Applied Scientist II, Advertising Trust Company: Amazon 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: Bengaluru, Karnataka, India Availability: Full time
Job Title: Software Engineer III Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As a Software Engineer III at JPMorgan Chase within the Consumer \& Community Banking\- Data Technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state\-of\-the\-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities * Executes standard software solutions, design, development, and technical troubleshooting * Writes secure and high\-quality code using the syntax of at least one programming language with limited guidance * Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications * Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation * Hands on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance. * Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance. * Maintain consistent code check\-ins every sprint to ensure continuous integration and development. * Executes using Platform engineering to enable the Gen AI platform and develop the Gen AI Use cases ,LLM fine tuning and multi agent orchestration. * Communicate technical concepts and solutions effectively across all levels of the organization. Work Location: Karnataka, India Availability: Full time
Job Title: Junior AI Engineer – Applied AI (Non-Clinical) Company: Teleradiology Solutions (TRS) Job Category: Machine Learning Roles & Responsibilities: Teleradiology Solutions (TRS), founded in 2002 by two Yale\-trained physicians and headquartered in Ardmore, PA, provides 24x7 diagnostic radiology reporting to over 150 hospitals across 21 countries, through a network of radiologists (US, Indian certified) and technology\-driven workflows. Daignostix, the AI arm of TRS based in Whitefield, Bengaluru, builds clinical AI for medical imaging and healthcare workflows. TRS also maintains an active academic and research focus, including AI in radiology (www.radguru.net). Role Summary As a Junior AI Engineer – Applied AI (Non\-Clinical), you will build and ship operational ML algorithms and AI\-enabled mobile features end to end under the guidance of senior engineers, using AI\-assisted development tools such as Claude Code to move quickly without compromising quality. This role does not work on clinical diagnostic models. Roles and Responsibilities * Operational algorithms. Build, train and evaluate models for case routing and worklist prioritisation, TAT prediction, radiologist scheduling and RVU/volume forecasting, and anomaly detection on operational data. * Mobile AI features. Build AI\-enabled features in mobile apps (React Native, Flutter or native iOS/Android) and integrate them with backend model services. * On\-device inference. Convert, optimize, and deploy machine learning models such as LightGBM, XGBoost, and scikit\-learn models for production use, balancing accuracy, inference latency, memory usage, and model size. * Data and evaluation. Build data pipelines from operational systems, define success metrics with operations stakeholders, and measure model impact against baselines in production. * AI\-assisted development. Use Claude Code and similar agentic coding tools in day\-to\-day development, while owning the review, testing and correctness of everything you ship. * Production engineering. Package models as tested services (Python, Docker, FastAPI) with unit and regression tests, logging and monitoring. Senior engineers lead architecture and deployment. * Stakeholder collaboration. Work with operations, product and engineering teams to turn workflow problems into measurable AI solutions. Python \| scikit\-learn \| XGBoost / LightGBM \| Time\-Series Forecasting \| Optimisation / OR\-Tools \| React Native / Flutter \| Swift / Kotlin \| PyTorch \| Core ML / TensorFlow Lite / ExecuTorch \| Claude Code / AI\-Assisted Development \| FastAPI / REST APIs \| Docker \| Git \| pytest \| CI/CD \| MLflow / Weights \& Biases Work Location: Karnataka, India Availability: Full time
Job Title: Lead ML Engineer Company: Persistent Systems Job Category: Machine Learning Roles & Responsibilities: Responsibilities: * Build, validate, and ship applied ML models that require real ML judgment, including channel rankers using learning\-to\-rank and gradient\-boosted approaches, peer\-network embeddings and similarity, statistical normalization of noisy LLM outputs, and confidence calibration; deploy them into production behind clean, maintainable contracts * Integrate ML models and LLM\-based components into decoupled, asynchronous pipelines and multi\-agent graphs, ensuring they are reliable, observable, and safe under real concurrent production load * Stand up evaluation, monitoring, and data\-quality discipline that confirms whether a model is actually working in production, including offline metrics that predict online behavior, drift detection, and reconciliation of projected vs. real impact * Build fast, reproducible data pipelines in the cloud by reflex, reaching for managed cloud services over one\-off scripts, automating data movement, cleaning, and preparation so that the data layer never becomes the bottleneck to ML delivery velocity * Decide when not to use ML and defend the simpler answer; reach for the simplest approach that will work best—a rules\-based scorer before a trained ranker, a clean baseline before a complex model—and earn the right to add complexity with evidence * Ship thin first versions into real environments fast, measure against reality, and iterate in tight loops; prioritize putting something narrow in front of real data or real users early rather than waiting for a complete spec * Own ML\-powered systems and products end to end—from problem framing through production and operation—including when models drift, when data is dirty, and when latency spikes * Design for failure before success: identify silent\-failure modes, build guardrails, and treat the risk register as your responsibility, including prompt\-injection paths on live data and bad recommendations before clients see them * Set technical direction and raise the delivery bar for others on the team; make the people around you better through mentorship, code quality, and sound architectural judgment * Iterate with the broader organization as the team moves from prototypes to products, building delivery momentum through frequent shipping and learning from real usage Work Location: Bangalore Urban, Karnataka, India Availability: Full time
Job Title: Senior AI ML Engineer Company: Eigenstate Innovations Pvt Ltd Job Category: Machine Learning Roles & Responsibilities: Eigenstate AI is building an Industrial Intelligence platform that helps manufacturers understand and improve productivity, process adherence and operational performance. We seek a hands\-on engineer who can lead technical execution, guide a small team and turn customer shop\-floor challenges into reliable, reusable AI products. Develop reusable AI/ML components and contribute to Eigenstate’s long\-term platform and IP. Lead technical task planning, code reviews, debugging and mentoring while writing production code. Role details Growth : Opportunity to grow into AI/ML Technical Lead and shape proprietary Industrial AI technology Work Location: In person Work Location: Karnataka, India Availability: Full time
Job Title: AI Engineer / Senior AI Engineer Company: SGP India Job Category: Machine Learning Roles & Responsibilities: \#\#\# Key Responsibilities \- Develop and deploy machine\-learning models using classification, regression, clustering, and feature engineering. \- Develop Generative AI and LLM\-based applications. \- Develop AI agents and multi\-step workflows using LangGraph. \- Develop scalable services using Python, FastAPI, and microservices. \- Support AI model deployment, monitoring, and performance optimization. Work Location: In person Work Location: Karnataka, India Availability: Full time
Job Title: Director - Drug Discovery AI Company: Eli Lilly Job Category: Machine Learning Roles & Responsibilities: At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life\-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. At Lilly, everything we do starts with patients. We unite caring with discovery to make life better for people around the world. Headquartered in Indianapolis, Indiana, our global team of over 50,000 employees work with urgency and purpose to discover and deliver life\-changing medicines, strengthen how health is understood and managed, and support the communities we serve. We bring our best to this work because people depend on it. If you're driven by purpose and determined to make a meaningful difference for patients, we invite you to bring your skill and your commitment to Lilly. At Lilly, technology is not a support function. It is how a global medicine company operates, innovates, and delivers. Lilly in Bengaluru builds the capabilities that make this possible, cloud platforms, AI systems, and automation at enterprise scale, all in service of a purpose that makes this technology work genuinely distinctive, from advancing drug discovery to enabling connected clinical trials to keeping a global medicine company running at the standard patients deserve. Role Overview As a Director of Drug Discovery AI, you will set scientific direction and technical strategy for AI research programs that span the full drug discovery value chain. This includes target identification and validation, hit finding, lead optimization, ADMET and developability, and translational biomarker discovery across small molecules, biologics, and genetic medicines. You will lead a team of AI scientists, AI engineers, and computational chemists and biologists, partnering closely with experimental scientists in Lilly Research Laboratories to turn frontier AI research into scalable, production\-grade capabilities that accelerate the delivery of new medicines. AI is your core expertise: you are a world\-class machine learning scientist with deep fluency across chemistry, biology, and genomics, and you can see how advances in one modality or discovery stage can be applied to another. This role requires a track record of scientific leadership, strategic influence, and building large\-scale AI research programs in the life sciences. In return, you will have the scale to make your work count: Lilly’s proprietary chemical, biological, and experimental data; the most powerful AI supercomputer owned and operated by a pharmaceutical company; and strategic collaborators. Key Responsibilities Ensure rigorous evaluation of new methods against leading academic and industry benchmarks and against prospective experimental outcomes Build and lead people Build, mentor, and develop high\-performing teams of AI scientists, AI engineers, and computational chemists and biologists, and cultivate the next generation of research leaders. Represent Lilly in the external scientific community through publications, partnerships, and conference leadership. Work Location: Karnataka, India Availability: Full time
Job Title: Senior AI/ML Trainer Company: SAVISHTY Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities Work Location: In person Work Location: Karnataka, India Availability: Full time
Job Title: Data Analyst Company: Myntra Job Category: Machine Learning Roles & Responsibilities: Myntra is India’s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e\-commerce, we’ve always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We’re bold in our thinking, agile in our execution, and collaborative in spirit. The Role Key Responsibilities * Data Analytics and Insights: Dive deep into customer interaction data (NPS, CSAT, app drop\-offs, and support tickets) to identify root causes of customer friction. Translate raw data into actionable insights that guide CX improvements. * Predictive Trend Analysis: Build models to forecast customer behavior, return rates, and seasonal ticket volumes. Anticipate CX challenges before they occur to help operations and product teams stay ahead of the curve. * Visual Intelligence: Design and maintain intuitive, high\-impact dashboards (via Tableau, PowerBI, or Looker) that track core CX metrics. Make complex data easily consumable for leadership and cross\-functional teams. * Market Intelligence: Monitor industry benchmarks and competitor CX strategies. Identify gaps and opportunities to ensure Myntra remains the gold standard for e\-commerce customer experience in India. * Stakeholder Management: Act as the primary data partner for CX leaders. Effectively communicate findings, influence strategic decisions, and align analytical outputs with operational realities. * Cross\-Functional Collaboration: Partner seamlessly with Product, Engineering, Supply Chain, and Customer Support teams to deploy data\-backed solutions and track the efficacy of new feature rollouts. Work Location: Karnataka, India Availability: Full time
