Job Title: Engineer, Senior Staff Company: Qualcomm Job Category: Machine Learning Roles & Responsibilities: We are seeking a highly skilled and motivated Language Model Engineer to join our team. The primary role of the engineer will be to train Large Language Models (LLMs) from scratch and fine\-tune existing LLMs on various datasets using state\-of\-the\-art techniques. Responsibilities Model architecture optimizations : optimize latest LLM and GenAI model architectures for NPUs, which involves reimplementing basic building blocks of models for NPUs Model Training and Fine\-tuning: Fine\-tune pre\-trained models on specific tasks or datasets to improve performance. Implement state\-of\-the\-art LLM training techniques such as Reinforcement Learning from Human Feedback (RLHF), ZeRO (Zero Redundancy Optimizer), Speculative Sampling, and other speculative techniques. Data Management: Handle large datasets effectively. Ensure data quality and integrity. Implement data cleaning and preprocessing techniques. Hands\-on with EDA is a plus. Research and Development: Stay up to date with the latest research in NLP and LLMs. Implement state\-of\-the\-art techniques and contribute to research efforts. Infrastructure development : For coming up with new optimization techniques to minimize ONNX memory footprint, export time optimizations. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e\-mail disability\-accomodations@qualcomm.com or call Qualcomm's toll\-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). If you would like more information about this role, please contact Qualcomm Careers. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: GenAI Developer Company: Infosys Job Category: Machine Learning Roles & Responsibilities: Design and implement advanced Generative AI models to solve complex problems. \- Collaborate with cross\-functional teams to integrate AI solutions into existing systems. \- Conduct research and stay updated with the latest advancements in NLP and AI technologies. \- Develop scalable and efficient AI algorithms to enhance product offerings. \- Mentor junior team members and share knowledge to foster a culture of learning. Good to have skills: Machine Learning, Data Analysis, Deep Learning, Python Programming, Cloud Computing Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: AI Engineer Company: Autocash.ai Job Category: Machine Learning Roles & Responsibilities: Job Description: AI Engineer Department: AutoCash.ai is building an AI\-powered cash management platform for CFOs and finance teams. We're redefining how mid\-market companies run their finance functions — connecting directly to banks, ERPs, and payment systems to deliver real\-time insights, automation, and decision intelligence. The Role What You'll Do * Design, develop, and deploy ML/AI models for cash flow forecasting, transaction categorization, and financial anomaly detection * Build and maintain data pipelines that ingest and normalize data from banks, ERPs, and payment systems * Fine\-tune and optimize models (including LLMs) for performance, latency, and cost in production * Build RAG pipelines and agentic workflows that help finance teams query and act on financial data conversationally * Integrate AI/ML models into the core platform via APIs and services * Monitor deployed models for drift, performance degradation, and reliability, given the high accuracy bar of financial data * Apply statistical methods to validate model performance, design experiments (A/B tests), and interpret forecasting accuracy * Implement MLOps best practices: CI/CD for models, versioning, testing, and monitoring * Partner with product and treasury domain experts to align model outputs with real CFO/finance\-team workflows * Help shape and scale AutoCash's India engineering hub from the ground up Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Machine Learning Engineer III Company: CommerceIQ Job Category: Machine Learning Roles & Responsibilities: Company Overview At CommerceIQ, we help consumer brands accelerate their retail ecommerce market share growth and profitability through machine learning algorithms. We are building the world's most complete and sophisticated Retail Ecommerce Management Platform, which connects and intelligently automates the management of retail ecommerce channels like Amazon, Walmart, and Instacart, across the entire ecommerce operational chain of retail media management, sales operations, supply chain, and digital self analytics. What You'll Be Doing As an ML Engineer in the team, you will work closely with Data Science, Engineering, Platform, Product and Operations teams to build state\-of\- the\-art ML based solutions for B2B SaaS products. This will entail applying advanced ML algorithms at scale for core products and developing robust end to end production pipelines which includes Human\-in\-the\-Loop component to boost the quality. The ideal candidate will have a strong background in machine learning model development, deploying large scale, high throughput machine learning pipelines to production, experience with developing and managing frameworks for machine learning platforms, which they can utilise to manage and improve our company's AI/ML initiatives. * Contribute to development of multiple AI driven end to end pipelines that allows for deployment and scalability of machine learning models * Build an end\-to\-end machine learning platform, covering all lifecycle stages of a model, to ease model development and deployment * Build tools and capabilities that help with data ingestion to feature engineering, data management and organisation * Deploy cutting edge algorithms like LLMs etc. on GPUs along with distributed computing for scalability * Contribute to tools and capabilities for model management and model performance monitoring * Implement the best engineering practices for scaling ML\-powered features, with a goal to enable the fast iteration of and efficient experimentation with novel features * Champion and own the ML infrastructure roadmap, in collaboration with Data Science and other platform teams Why you will love to work with us \- We have multiple brands, which are among the biggest brands operating on Amazon, as our customers. You will be responsible for working with their data and developing models and algorithms to drive lift in tune of hundreds of thousands of dollars. * Opportunity to work on cutting edge technologies in text and images data like LLMs, OCR, transformer based embeddings models. * Deploy code using the most advanced tech stack like AWS, GCP etc. * You will own projects end to end i.e., from exploration to final production * You will be empowered to make decisions. It implies more responsibilities but high learning * Immense opportunities to learn and develop ML based SaaS products for brands and get company\-wide recognition * Forget endless meetings. Get things done and start making an impact from day 1 * Work hard, have amazing fun, create history, build the future of eCommerce * Start\-up environment with a strong culture and values to accelerate your career Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Machine Learning Intern Company: Enterpret Job Category: Machine Learning Roles & Responsibilities: Enterpret is redefining how businesses understand and act on customer feedback. We are building an AI\-native platform that centralises feedback from every source surveys, reviews, support tickets, communities and turns it into clear, actionable insights that drive business growth. We are trusted by some of the world’s most customer\-obsessed companies like Canva, Descript, Notion, Perplexity and many more, and backed by leading investors like Kleiner Perkins, Canaan Partners, and Peak XV Partners. Our mission: to unlock the voice of the customer for every product team on the planet. * Build and prototype LLM\-backed features alongside senior engineers — retrieval pipelines, agents, evaluation harnesses, or hybrid patterns — and ship a meaningful slice of one into production by the end of the internship. * Contribute to eval rubrics, test plans, and quality dashboards that make AI feature quality measurable, and run evals on shipped systems. * Write clean, testable Python in our production stack, add tests that catch regressions, and help monitor and harden systems already in production. * Debug failures across data, infra, model, and prompt logic with your mentor, and write up what you learn so the team learns with you. * Collaborate with engineers, product, and the AI team — joining design reviews, shipping PRs, and participating in design decisions on features you contribute to. * Continuously raise the bar on your own craft: ask sharp questions in code reviews, read the systems before you change them, and push for quality without being asked. * Demonstrated AI/ML project depth — coursework, research, open\-source, hackathons, or prior internships where you've built something non\-trivial with LLMs and evaluated it rigorously. * At least one substantial project where you owned a system end\-to\-end — designed it, built it, and dealt with what broke. Tenure of effort matters more than tenure of employment. * Solid engineering skills in Python: you write clean, testable code, debug at system boundaries, and are comfortable in production\-style stacks. * Working knowledge of modern LLMs — prompting, fine\-tuning, retrieval, agents, or evaluation. You've gone deeper than a tutorial on at least one of these. * A systems mindset: you think in interfaces, data contracts, failure modes, and rollout plans — not just model tweaks. * A track record of collaborating and learning in the open — asking sharp questions, giving and taking feedback, and pushing for quality without being asked. * Available to work full\-time onsite in Bengaluru for the internship duration, with intent to convert to a full\-time role. ### What You’ll Gain ? * Mentorship from engineers who have scaled AI\-native systems. * Exposure to cutting\-edge tech * Understanding of real\-world product development in a high\-growth AI\-driven startup. * Competitive internship stipend. * Learning \& development resources in AI technologies. 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 * Be a team player and work across teams. ( 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: Machine Learning Engineer - Backend Company: InMobi Job Category: Machine Learning Roles & Responsibilities: About the Role As a Machine Learning Engineer at InMobi, you will be instrumental in designing, developing, deploying, and maintaining cutting\-edge ML systems that power our product experiences. We're looking for someone with a passion for elegant problem\-solving, rapid experimentation, and owning end\-to\-end machine learning workflows. Key Responsibilities * Model Development \& Deployment * Design, train, and deploy machine learning models with a strong focus on fast, reliable * Build APIs and microservices to serve ML models at * Feature development \& Engineering * Design \& deliver asks on backend features \& efficiently deliver * Work closely with the analytics, architects \& PM to deliver features asks as per * Identify solutions that can help us improve scalability, minimize bugs and reduce cost * Understanding of when to escalate questions/issues that arise during development * Able to efficiently diagnose bugs and issues * Familiar with various design and architectural patterns * Pipeline \& Infrastructure * Develop and maintain data ingestion, preprocessing, and model training * Deploy scalable data and model solutions that improve efficiency across ML * Collaboration \& Integration * Define and execute end\-to\-end ML solutions from ideation to * Monitoring \& Research * Monitor model performance in production, using statistical methods to ensure * Ownership \& Delivery * Lead or contribute to POCs and full\-scale ML feature * Manage project deadlines and deliverables in an agile We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. Work Location: Bangalore Urban, Karnataka, India Availability: Full time
Job Title: Machine Learning Engineer / AI Engineer IRC303970 Company: GlobalLogic Job Category: Machine Learning Roles & Responsibilities: Job responsibilities Job Responsibilities Ship production GenAI/ML features for supply chain risk management Operate AI in production (monitoring, quality metrics, drift detection) Exciting Projects: We focus on industries like High\-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Work\-Life Balance: GlobalLogic prioritizes work\-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning \& Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Machine Learning Engineer II - Backend. Company: InMobi Advertising Job Category: Machine Learning Roles & Responsibilities: About The Role As a Machine Learning Engineer at InMobi, you will be instrumental in designing, developing, deploying, and maintaining cutting\-edge ML systems that power our product experiences. We're looking for someone with a passion for elegant problem\-solving, rapid experimentation, and owning end\-to\-end machine learning workflows. Key Responsibilities * Model Development \& Deployment * Design, train, and deploy machine learning models with a strong focus on fast, reliable * Build APIs and microservices to serve ML models at * Feature development \& Engineering * Design \& deliver asks on backend features \& efficiently deliver * Work closely with the analytics, architects \& PM to deliver features asks as per * Identify solutions that can help us improve scalability, minimize bugs and reduce cost * Understanding of when to escalate questions/issues that arise during development * Able to efficiently diagnose bugs and issues * Familiar with various design and architectural patterns * Pipeline \& Infrastructure * Develop and maintain data ingestion, preprocessing, and model training * Deploy scalable data and model solutions that improve efficiency across ML * Collaboration \& Integration * Define and execute end\-to\-end ML solutions from ideation to * Monitoring \& Research * Monitor model performance in production, using statistical methods to ensure * Ownership \& Delivery * Lead or contribute to POCs and full\-scale ML feature * Manage project deadlines and deliverables in an agile We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data Scientist II Company: CommerceIQ Job Category: Machine Learning Roles & Responsibilities: * Strong background in machine learning, statistical modeling, predictive analytics, and feature engineering, with hands\-on experience developing and deploying classical ML models. * Strong proficiency in classical machine learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, LightGBM, CatBoost, Support Vector Machines (SVM), Naive Bayes, K\-Means, and DBSCAN. * Experience with feature engineering, feature selection, dimensionality reduction, hyperparameter optimization, cross\-validation, model calibration, and model evaluation. * Proficiency in Python, Pandas, NumPy, Scikit\-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. * Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, and cloud data platforms. * Strong understanding of statistical methods and model diagnostics, including hypothesis testing, confidence intervals, correlation analysis, distribution analysis, and statistical significance. * Experience with model deployment, monitoring, retraining, and productionization of classical machine learning models. Leadership \& Collaboration * Preferred: Proven ability to mentor junior data scientists or analysts, provide technical guidance, and establish best practices for machine learning development. * Strong cross\-functional collaboration skills with product, engineering, business, and analytics stakeholders to translate business problems into measurable ML solutions. * Ability to communicate model assumptions, methodology, results, limitations, and business impact to both technical and non\-technical stakeholders. * Ability to translate analytical findings into practical, scalable, and measurable business solutions. Work Location: Bengaluru, Karnataka, India Availability: Full time
