Job Title: Associate Engineer - Edge AI Company: Aptiv Job Category: Machine Learning Roles & Responsibilities: About Wind River Wind River is a global leader in delivering software for mission\-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company’s software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We’ve achieved recent 5G milestones including the world’s first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. About The Role You will help build and sustain the platform alongside Windriver team that runs AI Systems on the device — a Rust\-based system that manages AI application lifecycles across a heterogeneous fleet of edge hardware. This is a hands\-on role on hard systems problems: constrained compute, cross\-architecture builds, OTA updates, and production\-grade observability. You will start with well\-scoped pieces of the platform, with mentoring and code review from senior engineers, and grow into larger areas of ownership. We expect you to make AI tooling a core part of how you work from day one. What You'll Do * Implement and test components of the edge packaging and runtime system — a containerless / OCI\-based approach to shipping AI Systems to heterogeneous devices * Contribute to the on\-device orchestration platform and help support OTA update and lifecycle management for fielded devices * Measure and improve inference and resource usage on constrained CPU/GPU/NPU hardware * Work on cross\-compilation and CI/CD pipelines for reproducible, secure multi\-architecture builds * Help integrate the device fleet with the cloud control plane and backend services (REST/gRPC, OpenAPI, MQTT) * Reproduce, diagnose, and fix defects on real hardware, and turn what you learn into tests * Use agentic AI coding tools daily for implementation, refactoring, review, and debugging — and build real judgment about where they help and where they don't * Take part in the team's AI\-assisted engineering practice: working patterns, guardrails, and what stays human\-owned. * Keep the codebase and its documentation in a state that people can work in effectively. Wind River is a global leader in mission‑critical intelligent systems. For more than four decades, we have been an innovator and pioneer, powering billions of systems that demand the highest levels of security, safety, and reliability. We support customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries as they build the next generation of intelligent machines. Wind River’s technology has supported historic achievements—from NASA’s Artemis I and the James Webb Space Telescope to multiple Mars rovers, as well as the world’s first successful 5G data session with Verizon and one of the largest Open RAN networks with Vodafone. Work Location: Periyapatna, 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: Data Scientist II Company: Amazon.com Job Category: Machine Learning Roles & Responsibilities: We looking for an experienced, self\-driven Data Scientist to help us synthesise data into knowledge for our Kindle Direct Publishing business. If you like working with data and want to harness the power of it to develop a deeper understanding of customer behaviour, identify opportunities, impact publishing workflow and influence the business strategy to develop products and features that have a direct impact on the creator and reader experience, this is the role for you! Key job responsibilities As Data Scientist, you will connect with world leaders in your field working on similar problems. You will be working with massive\-scale data and providing analytic leadership to scientists, product managers, engineers using these data. You will leverage your knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages to analyze and translate the data into meaningful insights. You will closely collaborate with business, scientists, and engineers. You will have end\-to\-end ownership of operational and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision\-making. Further, you will build solutions leveraging advanced analytics that enable stakeholders to manage the business and make effective decisions, partner with internal teams to identify process and system improvement opportunities. Work Location: Karnataka, India Availability: Full time
Job Title: Data Scientist Company: Cummins Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities: Leverages data science methodology to solve business problems. Creates individual algorithms using statistical methodologies through the use of statistical programming languages and tools. Partners with domain experts to verify model capabilities. Implements statistical techniques to clean, prepare and profile the data prior to deeper analysis. Clearly articulates results, methodologies and learnings to stakeholder and peer group. Continuous development and advancement of the team through knowledge sharing and collaboration. Communicates effectively \- Developing and delivering multi\-mode communications that convey a clear understanding of the unique needs of different audiences. Manages complexity \- Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Predictive Modeling \- Develops analytical or machine learning models by using appropriate variable transformations, feature selection strategies, imputation strategies, class rebalancing, resampling strategies and quality control measures to generate predictive insights used in solving business questions. Statistical Modeling \- Develops descriptive and explanatory statistical models, and simulations for regression, classification, outlier detection, anomaly detection, time series forecasting using knowledge of foundational statistics such as null hypotheses significance tests, regression models, generalized linear modeling, time series analysis, rank statistics, probability distribution fitting survival analysis, etc. to validate hypotheses for any given statistical or business question. Problem Solving \- Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data\-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. * Strong analytical thinking and problem\-solving skills with the ability to work on complex datasets and ambiguous business problems. * Effective communication skills with the ability to present technical findings to diverse audiences. * Customer\-focused mindset with the ability to build strong stakeholder relationships. * Strong decision\-making capability using data\-driven insights. * Ability to manage complexity and prioritize high\-value opportunities. * Strong technical adaptability and passion for emerging technologies. * Manages Complexity * Data Mining * Predictive Modeling * Statistical Modeling * Problem Solving Role Category On\-site with Flexibility Work Location: Maharashtra, India Availability: Full time
Job Title: Applied AI Engineer Company: HYCU Inc. Job Category: Machine Learning Roles & Responsibilities: We are seeking an Applied AI Engineer that will be responsible for building AI\-powered workflows and agents that transform enterprise data into actionable insights. This role focuses on applying Generative AI techniques to real\-world use cases and integrating them into production systems. * Design and build AI\-driven workflows for data analysis, summarization, and recommendations * Develop and orchestrate AI agents that reason across multiple tools and data sources * Integrate Generative AI capabilities into applications, dashboards, and APIs * Validate AI outputs against business requirements and real\-world scenarios * Continuously iterate on AI solutions based on user feedback and performance metrics * Translate business and data problems into AI\-driven solutions * Build reliable and scalable AI workflows for production use * Collaborate with LLM, data, and knowledge engineers to improve solution quality * Ensure AI solutions are explainable, testable, and maintainable * Troubleshoot and improve AI behavior in production environments * Python (strong) * RAG implementation * OpenAI / Anthropic API usage * Prompt design \& optimization * Guardrail implementation * Token cost awareness Attributes of a Successful HYCUer in this role: * Self\-starter and strategic thinker who thinks outside the box * Takes responsibility and ownership for driving successful outcomes. You’re results\-driven with a winning attitude * Team player! You have excellent people and management skills to interact with staff, colleagues, cross\-functional teams and third parties * Hands\-on and builders' mentality with an entrepreneurial mindset and intrinsic motivation * Obsessed with being customer\-focused – We know our customers and are advocates for their voice and point of view across HYCU * Intellectual curiosity, always open for continuous learning/growth mindset Our Core Values: Authenticity, Grit and Empathy are at the heart of everything we do at HYCU. All of us at HYCU take ownership in shaping and contributing to our culture. We pride ourselves in developing an inclusive and diverse company that supports our employees and customers to do extraordinary things. Work Location: Karnataka, India Availability: Full time
Job Title: Enabling Areas - IT - DM - Junior AI Architect Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Your work profile Architecture Design: Design end\-to\-end architecture for AI solutions, including data ingestion, processing, modeling, deployment, and monitoring. Define architecture patterns, components, and interfaces to ensure scalability, performance, and reliability. Technology Evaluation: Evaluate and select appropriate AI technologies, frameworks, and tools to support the implementation of AI solutions. Stay abreast of emerging AI trends and advancements to inform technology decisions and architectural design. Model Development and Optimization: Collaborate with data scientists and machine learning engineers to develop and optimize machine learning and deep learning models. Ensure best practices in model development, training, evaluation, and deployment. Integration and Deployment: Integrate AI solutions into existing systems and infrastructure. Define deployment strategies and processes for deploying AI models in production environments, including cloud\-based and edge computing platforms. Performance Monitoring and Optimization: Establish monitoring and optimization mechanisms to track the performance, accuracy, and efficiency of AI systems in production. Implement feedback loops and continuous improvement processes to optimize AI models and algorithms over time. Governance and Compliance: Define governance policies and practices for AI development, deployment, and usage. Ensure compliance with regulatory requirements, ethical standards, and privacy considerations in AI initiatives. Collaboration and Leadership: Collaborate with cross\-functional teams, including data scientists, engineers, product managers, and business stakeholders, to drive AI projects from concept to delivery. Provide technical leadership and mentorship to team members. Work Location: Mumbai, 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: Data Scientist Company: Cummins Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities: Leverages data science methodology to solve business problems. Creates individual algorithms using statistical methodologies through the use of statistical programming languages and tools. Partners with domain experts to verify model capabilities. Implements statistical techniques to clean, prepare and profile the data prior to deeper analysis. Clearly articulates results, methodologies and learnings to stakeholder and peer group. Continuous development and advancement of the team through knowledge sharing and collaboration. Communicates effectively \- Developing and delivering multi\-mode communications that convey a clear understanding of the unique needs of different audiences. Manages complexity \- Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Predictive Modeling \- Develops analytical or machine learning models by using appropriate variable transformations, feature selection strategies, imputation strategies, class rebalancing, resampling strategies and quality control measures to generate predictive insights used in solving business questions. Statistical Modeling \- Develops descriptive and explanatory statistical models, and simulations for regression, classification, outlier detection, anomaly detection, time series forecasting using knowledge of foundational statistics such as null hypotheses significance tests, regression models, generalized linear modeling, time series analysis, rank statistics, probability distribution fitting survival analysis, etc. to validate hypotheses for any given statistical or business question. Problem Solving \- Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data\-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Ability to manage complexity and prioritize high\-value opportunities. Software Development: Knowledge of version control, testing frameworks, CI/CD, and secure development practices. Manages Complexity Role Category On\-site with Flexibility Work Location: 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
