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...

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 & 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...

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...

True ValueHub is an AI-native B2B SaaS solution for manufacturing companies. We help manufacturing companies save costs on direct material procurement. Our AI engine provides visibility into the true cost of manufacturing products and components globally, and reduces sourcing cycle time and new product introduction time to market. We provide detailed total...