Lead AI/ML Engineer/Associate Principal - MLOps in… - Jobeax
Vacancy description
Lead AI/ML Engineer/Associate Principal - MLOps in Chennai, India
India, Chennai
Lead AI/ML Engineer/Associate Principal - MLOps in Chennai, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Title : Lead AIML Engineer ML https://jobeax.com/link/HBAJOF7Dyieygc6Z : 8 - 12 https://jobeax.com/link/elpmNuUlUrtRmNOJ : Chennai, Bangalore, Hyderabad, Pune, Delhi/NCR.Who we are : Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest https://jobeax.com/link/pvUpFQxuygc6oBnK offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at https://jobeax.com/link/Qppr0WvBdKijniX6 are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward https://jobeax.com/link/qTIOeUD5ZuCCooZl purpose is to provide certainty to shape a better https://jobeax.com/link/90iq3Kg8OQti8nDq team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and https://jobeax.com/link/TTGmos8aN1rka4mH of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and https://jobeax.com/link/SGJ0VZ8Zk5eP2TLb are a Great Place to Work-Certified (2022-26), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and https://jobeax.com/link/GGWl0p4IdvoJ08YH have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India https://jobeax.com/link/mByBsG1n8QDvMkTk about the role? What your typical day would look like? : We are looking for a Machine Learning Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of https://jobeax.com/link/3ximr3pRxou0baO8 specifically, you will : - Engage with clients to understand their business context.- Translate business problems and technical constraints into technical requirements for the desired analytics solution.- Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision https://jobeax.com/link/ngm8RIB84YNl0Vgh do we expect? : - 8+ years of experience with at least 5+ years of relevant MLOps experience.- Proficient in a structured Python.- Proficient in any one of cloud technologies is mandatory (AWS/ Azure/GCP).- Model deployment experience is mandatory.- Follows good software engineering practices and has an interest in building reliable and robust software.- Good understanding of DS concepts and DS model lifecycle.- Working knowledge of Linux or Unix environments ideally in a cloud environment.- Working knowledge of Spark/ PySpark is desirable.- Should have hands-on experience in designing, developing, and deploying machine learning models while working across both ML and software engineering domains.- Should possess strong programming and model development skills, along with the ability to translate business problems into machine learning solutions.- CI/CD pipeline creation is good to have.- Excellent written and verbal communication https://jobeax.com/link/aGRBkvHZVvJQ98By are important to us, lets stay connected! : Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you https://jobeax.com/link/wPegLUyj5qnXqvK5 are an equal-opportunity https://jobeax.com/link/0DRCx8V5rgux5oah diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they https://jobeax.com/link/JbknknKzcAhWOdkG : The designation will be commensurate with expertise and https://jobeax.com/link/AwqRHcz9AaQaXGxr packages are among the best in the https://jobeax.com/link/zJdC5My1jFMfF3F9 Benefits : Health insurance (self & family), virtual wellness platform, and knowledge communities. (ref:hirist.tech)
... faithfulness, latency, token spend, guardrails (NeMo, Llama Guard), and hallucination mitigation.- Production MLOps & Deployment: Collaborate with Data and DevOps engineers to expose models as low - latency APIs (FastAPI/Docker) hosted on Azure or AWS cloud infrastructure.- Leadership & Strategy: Mentor mid - level and junior ...
... faithfulness, latency, token spend, guardrails (NeMo, Llama Guard), and hallucination mitigation.- Production MLOps & Deployment: Collaborate with Data and DevOps engineers to expose models as low - latency APIs (FastAPI/Docker) hosted on Azure or AWS cloud infrastructure.- Leadership & Strategy: Mentor mid - level and junior ...
... HybridYour Future Employer : A leading global AI and analytics company working across strategic consulting, advanced analytics, data engineering, governance, MLOps and AI-powered solutions, with a strong focus on Generative AI https://jobeax.com/link/yEDVIXaeb96i6mjc : - Develop, implement and deploy ML & GenAI use cases.- ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
... solutions using Azure, AWS, and/or GCP.- Drive production deployment using CI/CD, Docker, Kubernetes, DevOps, MLOps/LLMOps, and cloud-native practices.- Ensure AI solutions meet enterprise requirements for scalability, security, reliability, performance, observability, governance, and cost optimization.- Lead technical POCs ...
... frameworks (e.g., Experience with microservices architecture, message brokers (e.g., Experience with RPA tools or frameworks (e.g., Experience with Generative AI technologies, including working with frameworks like TensorFlow, PyTorch, or Hugging Face, and integrating AI/ML models into software applications. - Experience ...
... AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. We've raised ...
... Celery or other queue mechanism is Must Good to Have: - Experience working with Docker and cloud platforms (AWS/GCP/Azure) is good to have - Familiarity with ML model serving is Nice to have. - Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., Data platforms, pandas, ...
... the role : We are looking for a AI offensive Security researcher / Senior AI Security Engineer/Architect with MLSecOps experience to lead the next generation of AI-native security at https://jobeax.com/link/55bAhFuItfSjCwyh will own two parallel missions : securing o9's GenAI platform and agentic AI ecosystem from emerging ...
Job Summary We are seeking a DevOps Engineer with strong experience to design, implement, and maintain CI/CD pipelines and cloud infrastructure for application, data, and AI workloads. The role will also support basic MLOps and LLMOps practices, enabling reliable deployment and monitoring of machine learning models and ...
... science, AI, Data Science, or related field Experience 3–5 years of experience in software/ML engineering At least 1–2 years of hands-on experience in Generative AI / LLM-based systems Strong programming skills in Python Experience with LLMs and GenAI frameworks (OpenAI, Hugging Face, Anthropic, Google etc.) Hands-on experience ...
Role –Gen AI Engineer Location: PAN India Exp: 5+ years Mode Of Interview - F2F Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative ...
... review processes for the engineering team. Mentor junior and mid-level engineers on agentic AI patterns, prompt engineering, and pharma commercial data concepts. Lead architectural reviews, design documentation, and technical roadmap planning for the AI agent platform. Participate in client-facing discussions to explain agent-based ...
... across business applications. Key Responsibilities Reuse and enhance existing AI/Generative AI libraries, platforms, models and assets . Research and develop novel AI and Generative AI algorithms and techniques . Design, develop and optimize end-to-end AI/ML solutions for various applications. Work across Generative AI, NLP, ...
... cross-functional teams to deliver AI-driven solutions. Ensure responsible AI, privacy, security, and operational readiness across implementations. Strong experience in AI/ML solution architecture and enterprise application development. Knowledge of Generative AI, Machine Learning, and AI/ML lifecycle. Experience with RAG and LLM ...
... learning, and data modeling. - Bachlors in computer science, Engineering, or Information Systems Proficiency with Amazon Bedrock, Anthropic Claude, Azure OpenAI, OpenAI, or similar AI platforms. Knowledge of AI frameworks such as Agentic AI, CrewAI, LangChain, LangGraph, MCP, RAG, and vector databases. Familiarity with MLOps responsibilities: ...
... Model training, tuning, deployment, and MLOps. Amazon Bedrock – Serverless GenAI model access and orchestration. SageMaker JumpStart – pre-trained models and GenAI templates. Prompt engineering and fine-tuning of LLMs using SageMaker or Bedrock. Programming & Scripting ~ Python – Primary language for AI/ML development, data ...
... business problems in the oil and gas industry. Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring. Develop GenAI/NLP applications, and/or time-series, computer vision, commercial analytics models. Build production-ready solutions applying MLOps best practices (MLflow, CI/CD, ...