Job Title: Python and AI/ML Developer Company: Terralogic Job Category: Machine Learning Roles & Responsibilities: Role Overview Are you excited about the future of AI and how it can revolutionize network infrastructure? We are looking for an enthusiastic Python and AI/ML Developer to help us build the next generation of AI\-powered solutions for network operations, automation, monitoring, and troubleshooting. In this role, you’ll get the unique opportunity to blend backend development with practical networking concepts, machine learning, and cutting\-edge Generative AI. If you love solving complex puzzles and want to see your code make a real\-world impact, we want to meet you! Your Journey \& Responsibilities * Owning Your Work: Delivering high\-quality code on time, collaborating openly with your teammates, and growing through constructive feedback. * Building Scalable Systems: Designing and deploying reliable, secure, and high\-performance backend microservices and APIs using Python and FastAPI. * Innovating in AI \& Networking: Crafting AI/ML solutions for network health analysis, incident classification, and troubleshooting assistants. * Developing Smart Agents: Building AI agents that can handle network diagnostics and talk to each other seamlessly using MCP/A2A frameworks. * Automating Infrastructure: Writing smart Python workflows for device discovery, automated configuration checks, and pre/post\-change validation. * Handling Data Pipelines: Engineering pipelines that ingest, normalize, and analyze massive amounts of network logs, telemetry, and event data. * Ensuring Security \& Excellence: Implementing smart access controls and audit logs for AI\-assisted actions, while constantly troubleshooting, optimizing performance, and maintaining automated tests. This is a rare opportunity for a developer early in their career to work directly with highly advanced GenAI Agentic workflows and network automation frameworks . You won't just be a cog in a machine—with a cohort of 10 people starting together, you will have a direct support system, mentorship, and a platform to fast\-track your technical skills. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Applied Scientist Company: Amazon Science Job Category: Machine Learning Roles & Responsibilities: Description Help millions of authors around the world get their books published, discovered, and supported. As one of the first scientists on our new team in Bengaluru, you'll help turn ideas into models authors rely on every day, building agentic solutions with large language models (LLMs), multimodal models, and fine\-tuning. Key job responsibilities * Build the multi\-agent system behind KDP's author support assistant: orchestration across specialized agents and tools, personalization, and the evaluation that drives its continuous improvement. * Build multimodal models of book attributes, and use them for similar\-book search across languages, catalog quality, and category and keyword recommendations. * Post\-train open models on KDP expertise (for example with supervised fine\-tuning and reinforcement learning), and deploy them where they beat general\-purpose models on accuracy, cost, or speed. * Work closely with our scientists in the US and with engineering partners to take your work to production, design rigorous offline and online experiments, and write clear readouts with recommendations. About The Team Kindle Direct Publishing (KDP) lets anyone publish a book. We are the science organization for Amazon's Books business, now building our science teams in Bengaluru. Our team works in three connected areas: a support assistant that answers authors' questions from their own account data, in every language KDP supports; multimodal models that use book attributes to keep the catalog trustworthy and help authors reach the right readers; and fine\-tuned models that power the assistant and catalog models with KDP expertise. We serve authors, from first\-time writers to full\-time publishers. You will work closely with engineering, product, and policy partners. We value safety before speed and shared foundations over one\-off fixes. Scientists here get dedicated time for innovation, which can lead to patents and conference papers. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Associate Data Engineer (Data Intelligence) Company: Chalhoub Group Job Category: Machine Learning Roles & Responsibilities: What You'll Be Doing Support the AI/ML squad by preparing model training datasets, executing feature engineering tasks, and assisting with prompt design and API integration for the Group's generative AI and machine learning models. * Query, prepare, and clean model training datasets using SQL and Python (Pandas, NumPy) in Jupyter Notebooks. * Execute basic feature engineering tasks under the guidance of senior engineers. * Assist in prompt design and testing AI agents on the company's enterprise GenAI platform (Alia). * Support the build and testing of generative AI features using LLM APIs and AI tools. * Support API integration for machine learning models via REST APIs. * Run model training and evaluation experiments, recording metrics and results. * Assist with model monitoring, flagging performance or data quality issues to senior engineers. * Document datasets, experiments, and observations to support reproducibility. * Collaborate with AI/ML engineers, learning and applying engineering best practices. What We Can Offer You With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Engineer AI Company: Litmus7 Job Category: Machine Learning Roles & Responsibilities: * 0-1 years of experience in machine learning engineering and AI development. * Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. * Solid experience in natural language processing (NLP) \- language models, text generation, sentiment analysis, etc. * Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. * Expertise in Agentic AI and building real world applications using the same. * Experience working with Agentic AI frameworks like Langgraph , ADK, Autogen etc. * Hands\-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) * Experience in MLOps and ML model deployment pipelines. * Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. * Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. * Experience with data processing, feature engineering, and model training on large datasets. * Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. * Understanding of software engineering best practices and applying them to ML systems. * Design, develop and optimize machine learning models for applications across different domains. * Build natural language processing pipelines for tasks like text generation, summarization, translation, etc * Develop and deploy cutting\-edge generative AI \& Agentic AI applications. * Implement MLOps practices \- model training, evaluation, deployment, monitoring, and maintenance. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Staff Engineer- MLOps Company: Stryker Job Category: Machine Learning Roles & Responsibilities: We are in search of a skilled and experienced Staff MLOps Engineer to join our team, with a focus on building systems and applications that interact with AI models in a cloud\-native Azure environment, with Azure Machine Learning (Azure ML) at the core of our ML platform. In this position, you'll be responsible for designing, developing, and maintaining software applications that flawlessly integrate with state\-of\-the\-art AI and machine learning technologies. What You Will Do: * Design, develop, and maintain high\-performance, scalable MLOps systems and pipelines that interact with AI models and systems.Build and operate end\-to\-end ML workflows on Azure Machine Learning, including training pipelines, experiment tracking, model registry, and managed online/batch endpoints. * Cooperate with cross\-functional teams, including data scientists, AI researchers, and AI/ML engineers, to understand requirements, define project scope, and ensure alignment with business goals.Contribute technical expertise in evaluating, selecting, and implementing software technologies, tools, and frameworks in a cloud\-native (Azure \+ Azure ML) environment. * Troubleshoot and resolve intricate software problems, ensuring optimal performance and reliability when interfacing with AI/ML systems. * Participate in software development project planning and estimation, ensuring efficient resource allocation and timely solution delivery. * Contribute to the development of continuous integration and continuous deployment (CI/CD) pipelines. * Contribute to the development of high\-performance data pipelines, storage systems, and data processing solutions. * Implement monitoring and observability for deployed models and platform services (performance, data/model drift, reliability), with dashboards and reporting in Power BI and Grafana. * Contribute to the creation and maintenance of technical documentation, including design specifications, API documentation, data models, data flow diagrams, and user manuals. Mentor junior engineers and promote MLOps and software engineering best practices across the team. Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Work Location: Bengaluru, India Availability: Full time
Job Title: Sr Engineer - AI COE Company: Tata Communications Job Category: Machine Learning Roles & Responsibilities: Role Summary We are hiring a Sr. Engineer (2\+ years) for the AI CoE to build and deploy Generative AI, RAG, Agentic AI, and Machine Learning solutions. This role combines LLM\-driven applications with strong ML fundamentals, supporting scalable and monetizable AI products for telecom and enterprise use cases. Key Responsibilities * Build and deploy LLM\-based applications, RAG, and Agentic RAG systems * Develop multi\-agent workflows using tools like LangChain, LlamaIndex, LangGraph, Azure, and AWS Bedrock * Integrate MCP tools, APIs, and function\-calling into AI systems * Design prompting strategies, embeddings, and vector search pipelines using Milvus / FAISS / Pinecone * Implement structured output generation for LLM responses (JSON/schema\-driven outputs) * Apply machine learning techniques (classification, clustering, predictive modeling) for telecom and enterprise use cases * Perform data preprocessing, feature engineering, and model evaluation * Optimize solutions for performance, scalability, cost, and latency * Develop backend APIs using FastAPI for serving AI/ML models * Containerize applications using Docker for scalable deployment * Implement monitoring, logging, and observability using Grafana and ELK stack * Enable LLM traceability and observability using Langfuse etc. * Collaborate with product and engineering teams to deliver production\-grade AI solutions Additional Note Role involves hands\-on Python coding and system design assessments, covering machine learning fundamentals, model building, RAG, LLMs, agent\-based applications, LangGraph workflows , API development, and production deployment considerations (Docker, monitoring, traceability). Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: AI-ML Researcher Company: AkzoNobel Job Category: Machine Learning Roles & Responsibilities: Job Purpose The Technology Integration Team develops and productizes reusable Color Technology Components that power AkzoNobel’s internal applications and external customer\-facing tools, with focus areas in Colorimetric Engines/Building Blocks, Color Visualization, and AI/ML\-enabled color services. The AI/ML Researcher owns the delivery of applied Machine Learning and statistical solutions for prioritized color and coatings use cases (e.g., formulation optimisation, pigment/raw material screening, quality prediction, and image\-based inspection). The role translates business and R\&D questions into well\-structured datasets, validated ML models, and clear insights, and partners with engineering and product stakeholders to ensure solutions are deployment\-ready, monitored, documented and usable in products and processes. Unlike generalist Researcher roles, this position brings dedicated applied ML/data science capability to the team, owning the end\-to\-end ML lifecycle from problem framing through deployment\-ready model delivery. Key Accountabilities * Use case shaping \& stakeholder partnering * Engage with R\&D, lab teams, manufacturing and product/application stakeholders to translate needs into well\-defined ML problems, required inputs/outputs, constraints, and measurable success criteria. * Lead or co\-lead end\-to\-end delivery for assigned use cases from discovery and scoping through experimentation, validation, and implementation readiness. * Communicate trade\-offs (accuracy vs. explainability, latency, cost, robustness) and guide stakeholders toward fit\-for\-purpose solutions. * Data preparation, analysis \& modelling * Acquire, clean, integrate, and analyze data from R\&D/lab systems, manufacturing sources, and internal datasets; assess data quality, bias, leakage risk, and suitability for modelling. * Develop, benchmark, and validate ML models (supervised/unsupervised) including baseline creation, feature engineering, model selection, hyperparameter tuning, and robustness checks. * Domain application (color/coatings) * Collaborate with color formulators, researchers, and lab teams to ensure modelling aligns with domain realities (measurement variability, protocols, material constraints). * Define and drive dataset design/generation activities (e.g., DoE support, sampling strategy, labeling guidance, protocol awareness) to improve training data quality and coverage. * Apply practical understanding of relevant color data types (spectral/Lab\/ΔE and variability) when designing targets, features, and evaluation strategies (as applicable). * Computer vision (where relevant) * Deliver image\-based modelling tasks (e.g., defect detection, surface uniformity, pigment recognition) using classical CV and deep learning methods; define evaluation metrics and acceptance criteria aligned to operational deployment. * Ensure peer review and alignment with Senior Researchers/architects for high impact use cases and model choices that may affect product/process behavior. * Industrialization \& production readiness * Drive implementation readiness of assigned models: reproducible training/inference code, model artifacts, data dependencies, parameterization, testing approach, and clear runbooks. * Contribute to MLOps practices as defined by the team: version control, experiment tracking, model registry inputs, monitoring requirements, alert thresholds, and retraining triggers. * Partner with application/software teams to integrate model outputs into components/services (APIs, batch pipelines, or embedded usage) and support post\-deployment stabilization. At AkzoNobel we are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In our organization, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: Applied Scientist II, Advertising Trust Company: Amazon Science 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: 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: Bengaluru, India Availability: Full time
Job Title: Machine Learning Engineer III Company: CommerceIQ Job Category: Machine Learning Roles & Responsibilities: 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. 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 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, India Availability: Full time
