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: 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: 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: 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
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: Cloud Engineer Company: Molex Job Category: Machine Learning Roles & Responsibilities: Your JobWe are seeking an experienced and proactive Software Engineer / AWS AI/ML Cloud Engineer to design, build, deploy, and support cloud\-native applications and AI/ML solutions on AWS. The primary focus of this role is developing production\-grade software applications and platforms that leverage AWS cloud services, AI/ML capabilities, and modern software engineering practices to solve complex business challenges. In this role, you will apply your expertise in Python software development, cloud architecture, and AWS technologies to deliver secure, scalable, and maintainable solutions. You will be responsible for building application backends, APIs, cloud services, automation frameworks, and AI\-enabled applications while partnering with business and technical teams to bring innovative ideas into production. The ideal candidate is passionate about writing high\-quality software, designing robust systems, and continuously learning emerging cloud and AI technologies. Our team combines strong software engineering principles with modern cloud technologies to build scalable business solutions. We value ownership, problem solving, collaboration, and technical excellence, offering opportunities to work across the full software development lifecycle while leveraging the latest AWS, automation, and AI/ML technologies. What You Will Do * Design, deploy, and manage scalable and highly available Python applications built on cloud, specifically built on AWS infrastructure. * Build the best AI/ML solutions with the available resources, from DB hosted on the cloud to refresh BI dashboards, such as Power Bi dashboards. * Work with core AWS services such as EC2, S3, RDS, VPC, IAM, Lambda, Amplify, AppSync, SQS, API Gateway, ECR, Glue, SageMaker, Bedrock, and CloudWatch. * Implement Infrastructure as Code (IaC) using Terraform. * Monitor, troubleshoot \& optimize cloud environment for performance, security, and cost optimization. * Collaborate with development team on CI/CD pipelines. * Ensure security best practices including IAM roles, policies, encryption, and network security. * Troubleshoot Python based applications on cloud infrastructure issues and provide root cause analysis. * Practice the clean code and best practices for developing Python web applications. * Participate in architecture reviews and cloud optimization initiatives. * Stay current with AWS best practices. * Maintain thorough design documentation, operational procedures, and best practices. * Experience designing and implementing serverless and event\-driven architectures on AWS. * Experience building AI/ML, Generative AI, and data pipelines using services such as SageMaker, Bedrock, Glue, and related AWS technologies. * Experience developing and supporting enterprise\-scale software applications and cloud\-native solutions. * Hands\-on experience with containerization, infrastructure automation, and configuration management using tools such as Docker and Ansible. * Experience with observability, monitoring, logging, cost optimization, and operational excellence in AWS environments. * AWS Certifications such as AWS Certified Solutions Architect, Machine Learning Engineer, or AI Practitioner. Work Location: Karnataka, India Availability: Full time
