Job Title: Staff Machine Learning Engineer Company: project44 Job Category: Machine Learning Roles & Responsibilities: We expect every project44 team member, regardless of role or function, to actively leverage AI in their day\-to\-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers to join our engineering team. You will work in a fast\-paced Agile environment designing, building, and implementing best\-in\-class integrations to accelerate how project44 connects to the world’s logistics networks. About the Role * Staff ML Engineerto lead the development of next\-generation AI/ML systems at Project44, spanning ETA, risk, anomaly detection, and supply chain intelligence. This role sits at the intersection of applied modeling, platform thinking, and production impact, with a mandate to both ship high\-value ML capabilities and build reusable Data Science platform primitives that scale across teams. * In addition, this role will drive the integration of Generative AI, LLMs, and agentic systems into core workflows—enabling reasoning\-driven diagnostics, automation, and intelligent decision support across the supply chain. * You will work closely with Data Science, ML Engineering, Data Engineering, Platform, and Product teams to deliver production\-grade systems and establish a scalable, repeatable approach to AI development at P44\. * Drive High\-Impact ML Systems Lead end\-to\-end development of models for ETA, risk, anomaly, and fraud—leveraging advanced techniques (embeddings, transformers, hybrid models). * Build Data Science as a Platform Develop reusable ML infrastructure (features, experimentation, deployment, monitoring) to scale model development and reduce time\-to\-production. * Lead GenAI \& Agentic Systems Build LLM\-powered solutions (RAG, diagnostics, automation, coding agents) and establish guardrails, evaluation, and explainability. * Translate Business Problems into ML Solutions Convert customer workflows into well\-defined ML problems and ensure measurable business impact. * Drive Experimentation \& Evaluation Establish strong offline/online evaluation frameworks tied to business outcomes. * Collaborate Across Engineering Partner with MLE and DE to build scalable, reliable systems across the ML lifecycle. * Experience 8–10\+ years in Data Science / Applied ML with a strong track record of building and deploying production\-grade ML systems. * Core Modeling \& Technical Expertise Deep expertise across tree\-based models, transformers, probabilistic modeling, and feature engineering, with a strong data\-centric mindset. * Data \& Platform Fluency Proficient in SQL and Python, with hands\-on experience in modern data platforms (Snowflake/Databricks), pipelines (Spark, Airflow), streaming systems (Kafka), and MLOps tooling. * GenAI \& LLM Capability Experience building RAG systems, working with embeddings and vector databases, and developing LLM\-based applications and agentic workflows. Strong understanding of evaluation, guardrails, and safe deployment of GenAI systems. * Systems \& Engineering Mindset Familiarity with distributed systems, APIs, and deployment patterns, with the ability to write clean, production\-quality code. * Analytical Rigor \& Diagnostics Strong ability to evaluate model performance, detect edge cases, run root cause analysis, and design robust monitoring and evaluation frameworks. * Data Quality \& Signal Awareness Experience handling messy, real\-world data, including drift, bias, missingness, and anomalies, along with tools and techniques to detect and address these issues. * Modeling Judgment \& Trade\-offs Ability to identify when to use ML versus heuristics and design pragmatic hybrid solutions. Strong understanding of architectural trade\-offs across models and systems. * Business Impact Orientation Clear understanding of how ML metrics translate to business outcomes, with the ability to balance trade\-offs across accuracy, scalability, latency, and customer experience. * Leadership \& Communication Strong problem framing, stakeholder influence, and ability to communicate model behavior and decisions clearly to both technical and non\-technical audiences. Proven track record of driving measurable business impact. * Deliver 2 high\-impact ML capabilities with measurable customer value * Establish standardized experimentation, monitoring, and RCA workflows * Introduce GenAI/agentic capabilities that improve productivity and insight generation * Reduce time\-to\-production and increase reuse across DS teams * Drive measurable improvements in model performance and system reliability We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior Machine Learning Engineer Company: Treasure AI Job Category: Machine Learning Roles & Responsibilities: We are thrilled that Gartner Magic Quadrant has recognized Treasure AI as a Leader in Customer Data Platforms for 2024! It's an honor to be acknowledged for our efforts in advancing the CDP industry with cutting\-edge AI and real\-time capabilities. View the report here. Your Role We are seeking strong ML engineers to join the ML team and help us sharpen the ML vision and deliver more solutions to satisfy our customers’ needs. You will be working closely with other ML engineers and people from cross\-functional teams. You Will Be a Good Fit If You * Are a self\-driven, organized, and independent individual who proactively takes initiatives, anticipates needs, and solves problems to contribute to delivering values to our customers. * Have a strong sense of ownership and responsibility to get things done. * Have a growth mindset; are curious to learn new things and adaptive to changes. * Know how to navigate ambiguity and thrive in uncertain environments, consistently driving work forward. * Are passionate about productizing ML products, knowing how to make practical trade\-offs when turning ideas into working software. * Excel in adapting communication styles and simplifying complex technical concepts for diverse audiences, ensuring clear and effective communication. * Enjoy working in a collaborative work environment with people from diverse backgrounds. This is an ideal position for those with not only data science and machine learning skills, but also cloud service engineering skills for developing, deploying, and operating these critical ML products. Responsibilities Design and develop ML models or solutions for our client CDP implementation. mitigate risks by collaborating closely with product managers, UX designers, architects, * Contribute to defining system architecture for the ML products and implementing specific * Design and implement performant, scalable ELT data pipelines, considering an ML model’s * Take responsibility for technical problem solving and meeting ML objectives creatively in * Participate in the on\-call rotation for production support. * Drive best practices including ML research methodologies, coding standards, code reviews, source control management, development processes, build processes, testing and release, deploying ML models, as well as building and maintaining ML pipelines and products. includes responsibility for model selection, performance benchmarking, and lifecycle management to solve real\-world business problems. Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it. This description captures the core of the role today. As we adopt AI and new ways of working, responsibilities may evolve, and we encourage team members to take initiative, lean into change, and help expand the impact of their role beyond what’s listed here. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: AI or ML Engineer 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. We are seeking a talented and passionate AI/ML Engineer to join our innovative technology team. The ideal candidate will be at the heart of designing and building the intelligent systems that power our products and services. This role involves working on the complete lifecycle of machine learning projects, from data collection and preprocessing to model development, deployment, and maintenance. You will be a key player in transforming complex data into actionable insights and creating AI\-driven solutions that solve real\-world problems. Primary Responsibilities * Design and Develop ML Models: Research, design, and develop machine learning and deep learning models to address business challenges. This includes everything from selecting the right algorithms to building predictive models from the ground up * Data Pipeline and Preprocessing: Build and maintain robust data pipelines. You will be responsible for gathering data from various sources, cleaning it, and transforming it into a usable format for model training * Model Training and Evaluation: Train, test, and validate machine learning models to ensure they are accurate, reliable, and meet business requirements. This involves performing statistical analysis and running experiments to optimize model performance * Deployment and MLOps: Deploy trained models into production environments and maintain their lifecycle. You will implement MLOps best practices for monitoring, retraining, and updating models to ensure they remain effective over time * Collaboration and Innovation: Work closely with data scientists, software engineers, and product managers to integrate AI/ML models into our applications and systems * Stay Current: Keep up\-to\-date with the latest advancements in the field of AI, machine learning, and deep learning, and be prepared to apply new research to our products * Build Generative AI \& LLM Workflows: Design, develop, and optimize LLM\-powered applications and agentic workflows, including retrieval\-augmented generation (RAG), prompt engineering, tool/function calling, and multi\-step orchestration, to deliver production\-grade generative AI features * Ensure LLM Reliability \& Evaluation: Establish evaluation frameworks, guardrails, and structured, type\-safe output validation to ensure generative AI systems are accurate, safe, cost\-efficient, and reliable in production * Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior Machine Learning Engineer Company: PharmEasy Job Category: Machine Learning Roles & Responsibilities: Launched in 2015, PharmEasy is a consumer healthcare “super app.” Started with the sole purpose of making healthcare accessible C affordable to all, PharmEasy today is India's leading C most trusted onlinehealthcare aggregator in the country. About the role distribution), and Thyrocare (diagnostics). This is a hands\-on role. You'll build and deploy ML leaderboard rankings. evaluation, deployment, and monitoring. \#Hiring \#PharmEasyCareers \#MachineLearningEngineer \#AppliedAI \#AgenticAI \#GenerativeAI \#LLMEngineering \#MLOps \#ProductionML \#AIEngineering \#MachineLearningJobs \#AIJobsIndia \#BangaloreJobs \#PythonDeveloper \#TechHiring Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: AI/ML Engineer (with AWS Cloud Skills) Company: Infosys Job Category: Machine Learning Roles & Responsibilities: Develop, train, evaluate, and deploy Machine Learning models for business use cases. Build predictive analytics, classification, regression, recommendation, and NLP solutions. Work with structured and unstructured datasets for model development. Perform feature engineering, model tuning, and performance optimization. Develop applications using LLMs and Generative AI technologies. Build Retrieval\-Augmented Generation (RAG) pipelines. Integrate foundation models through AWS Bedrock or OpenAI APIs. Implement prompt engineering and LLM evaluation techniques. Work Location: Bengaluru East, 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: 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: 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: 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