Senior Python Developer with MLOps platform

Role & responsibilitiesRoles: Senior Python DeveloperDesign & build backend components of MLOps platform on AWS.Collaborate with geographically distributed cross-functional teams.Participate in on-call rotation with the rest of the team to handle production incidents.Knowledge, Skills and ExperiencePython ProgrammingAWS ServicesFlaskSpark Programming...

Title: MLOPS EngineerExperience: 6 to 12 yearsJob Location: HyderabadInterview Date: 6th September 2025 at HyderabadMode of Interview: In-Person (Scheduled)Note: This is a scheduled interview process. Candidates will be invited based on shortlisting and prior appointment. Kindly note that this is not a walk-in interview.Job Summary:We are seeking a skilled...

Key MLOps Engineer PositionWe are seeking an experienced MLOps engineer to drive our AI and machine learning initiatives forward.The ideal candidate will have strong hands-on skills in Python, Jenkins/Harness, Kubernetes/Terraform, and cloud services.Primary Responsibilities:Develop and implement scalable and efficient MLOps solutions that meet business...

Title: Software Engineer Backend (Python)Location: Hyderabad, India (Need to work from Experian- Hyderabad office at least 3 days in a week from day one)Experience: 5+Job Responsibilities:Software Engineer Backend (Python) About the Role Our team is responsible for building the backend components of MLOps platform on AWS. The backend components we build are...

Role : MLOps EngineerLocation - BangaloreMode of Interview - In PersonDate - Scheduled InterviewKey words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, AKS, Terraform, Fast APIResponsibilitiesModel Deployment, Model Monitoring, Model RetrainingDeployment...

Role : MLOps EngineerLocation - HyderabadMode of Interview - In PersonDate - Scheduled InterviewKey words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, AKS, Terraform, Fast APIResponsibilitiesModel Deployment, Model Monitoring, Model RetrainingDeployment...

Role : MLOps EngineerLocation - ChennaiMode of Interview - In PersonDate - Scheduled InterviewKey words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, AKS, Terraform, Fast APIResponsibilitiesModel Deployment, Model Monitoring, Model RetrainingDeployment...

MLOps EngineerLocation: Hyderabad & ChennaiWorkplace Type: HybridAbout the RoleWe are seeking a highly skilled and motivated MLOps Engineer to join our growing data science team. In this role, you will be responsible for building, deploying, and maintaining machine learning models in production using Google Cloud Platform (GCP). You will work closely with...

MLops engineerLocation:Hyderabad (Hybrid – 3 days onsite)Experience:5+ YearsEmployment Type:Full-TimeClient:Leading Healthcare Data Analytics CompanyAvailability:Immediate JoinerAbout the RoleWe are hiring aMachine Learning & MLOps Engineerfor our Hyderabad office (Hybrid Mode). The role is with aHealthcare Data Analytics clientbuilding scalable, secure,...

Seeking an MLOps Engineer to design, deploy, and monitor ML systems. You'll ensure models are reliable, scalable, and easy to manage, while building tools that support teams and improve workflows. Required Candidate profileLooking for 3+ yrs exp in DevOps/MLOps/ML/Data Eng, strong Python, Git, CI/CD, Docker, K8s, cloud (AWS/GCP/Azure).Plus MLflow, Kubeflow,...