ML Ops Engineer

Role Brief: We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production.The ideal candidate will have hands-on...

Job Title: ML Ops EngineerLocation: BangaloreExperience: 38 YearsEmployment Type: Full-timeAbout the RoleWe are looking for a skilled ML Ops Engineer to design, build, and optimize scalable machine learning (ML) infrastructure and pipelines. You will collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models for production...

Senior ML Engineer (ML Ops)Chennai / Bangalore / HyderabadWho we areTiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of...

Position:- ML Ops EngineerExperience:- 6+ yearsLocation:- BangaloreRequired Skills: ● Demonstrated ability in designing, building, refactoring and releasing software written in Python. ● Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Triton. ● Ability to handle framework-related issues, version upgrades, and compatibility with data...

Req 1 - ML/Dev Ops EngineerMandatory Skills:Databricks, mlFlow, Seldon, AWS, Kubeflow, Tecton, JenkinsSkill to Evaluate:Databricks,-mlFlow,-Seldon,-AWS,-Kubeflow,-Tecton,-Jenkins,-Graffana-,-Python-,Experience: 5 to 10 YearsLocation:BengaluruBudget: 24 to 30 LPANotice - ImmediateJob Description:· Focus on ML model load testing and creation of E2E test...

Key ResponsibilitiesDevelop, deploy, and maintain ML services using Langserve for efficient model serving.Monitor model performance and manage observability using Langfuse.Containerize applications and services using Docker for consistent development and production environments.Orchestrate and manage containerized workloads using Kubernetes (EKS/GKE/AKS or...

AI/ML Ops Engineer About Us Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and...

Who We AreZinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three...

Assistant Manager - ML CV Ops EngineerAssistant Manager - ML CV Ops Engineer-ANA Ready to build the future with AI? At Genpact, we don't just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're...

Role & Responsibilities:Good knowledge of Azure and Databricks cloud platform and services.Strong hands-on experience in end-to-end ML solution orchestration for – 1) Data/Feature Engineering, 2) Model Training/Inferences, 3) Real-time/Batch Processing.Hands-on experience in backend development using FastAPI.Very good knowledge of MLOps concepts like data...