MLOps Engineer

About the Role: We’re looking for a strategic Senior MLOps Engineer to lead the end-to-end design, implementation, and scaling of our AI infrastructure. You’ll partner with researchers, product teams, and DevOps to turn prototypes into production services that meet strict SLAs for latency, reliability, and cost efficiency.Responsibilities:• Core MLOps...

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 4000000 (ie INR 20-40 LPA) Min Experience: 8 years JobType: full-time We are looking for an experienced MLOps Engineer with a minimum of 8 years of experience to manage and scale machine learning operations across production environments. The role involves building robust, automated,...

This role is for one of the Weekday's clients Salary range: Rs - Rs (ie INR 20-40 LPA) Min Experience: 8 years JobType: full-time We are looking for an experienced MLOps Engineer  with a minimum of 8 years of experience to manage and scale machine learning operations across production environments. The role involves building robust, automated, and scalable...

MLOpsResponsibilitiesDesign, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning modelsCollaborate with data scientists and engineers to understand model requirements and optimize deployment processesAutomate the training, testing and deployment processes for machine learning modelsContinuously monitor and...

Key Responsibilities:-Design, develop, and implement MLOps pipelines for the continuous deployment an integration of machine learning modelsCollaborate with data scientists and engineers to understand model requirements and optimize deployment processesAutomate the training, testing and deployment processes for machine learning modelsContinuously monitor and...

MLOps RoleResponsibilitiesDesign, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning modelsCollaborate with data scientists and engineers to understand model requirements and optimize deployment processesAutomate the training, testing and deployment processes for machine learning modelsContinuously...

About the Role:We're looking for a strategic Senior MLOps Engineer to lead the end-to-end design, implementation, and scaling of our AI infrastructure. You'll partner with researchers, product teams, and DevOps to turn prototypes into production services that meet strict SLAs for latency, reliability, and cost efficiency.Responsibilities:•Core MLOps...

We are seeking a highly skilled Databricks MLOps Developer to join our team.Key Responsibilities:Design and Build Scalable MLOps PipelinesDevelop automated machine learning pipelines for training, validation, deployment, and batch/real-time inference.Use Databricks Workflows, Jobs, Repos, and Delta Live Tables where applicable.Implement distributed training...

80% utilization.• Cross-Functional Leadership: Partner with AI researchers, product managers, and legal to align MLOps standards with compliance and roadmap goals.• Mentorship & Community: Mentor junior engineers, run quarterly brown-bags, own onboarding docs (upskill 5+ engineers/quarter), and publish ≥ 1 open-source contribution or talk...

Position: Cloud – MLOps Engineer Location: Bangalore (Work from Office) Notice Period: Not more than 30 days SummaryWe are seeking a highly skilled Cloud – MLOps Engineer to design, implement, and manage scalable cloud -based machine learning infrastructure on AWS. The ideal candidate will have strong expertise in AWS cloud architecture, MLOps pipeline...