ML Ops Engineer

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...

SummaryGainwell is seekingLLM Ops Engineers and ML Ops Engineersto join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance...

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...

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...

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...

RoleWe are seeking a seasoned AI/ML Engineer to join our Cloud Operations (CloudOps) team. The ideal candidate should have strong expertise in designing, developing, and deploying AI/ML models and automation solutions that optimize cloud infrastructure management and operational efficiency. Primary Responsibilities- Design, develop, and deploy machine...

About UsAutomation 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 analytics—all delivered with...

Strong in Python (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow).Hands-on experience with ML Ops frameworks/tools Experience with containerization & orchestration.Strong knowledge of CI/CD tools (GitHub, etc.)Experience in AWS / Azure..

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...