ML Ops EngineerLeadAWSAzureGCP

We are looking to hire ML Ops Engineers for a client who is a leader in the AI and Analytics solution. You will work on a broad range of cuttingedge data analytics and machine learning problems.

Responsibilities

• Develop endtoend ML pipelines encompassing the ML lifecycle from data ingestion data transformation model training model validation model serving and model evaluation over time.
• Collaborate closely with AI/ML/Data scientists
• Setup CI/CD/CT pipelines for ML algorithms.
• Deploy models as a service both oncloud and onprem.
• Learn and apply new tools technologies and industry best practices.

Qualifications

Key Qualifications

• BE/BTech or MS in Computer Science Software Engineering or equivalent field
• 4 8 years of experience overall
• 3 years of relevant data science experience and at least 3 years of software development experience.
• Experience with Cloud Platforms AWS GCP and Azure and related skills: Docker Kubernetes edge computing etc.
• Familiarity with task orchestration tools such as MLflow Kubeflow Airflow Vertex AI Azure ML etc.
• Fluency in at least one general purpose programming language. Python or Java preferred. Strong DevOps skills: Linux/Unix environment testing troubleshooting automation Git dependency management and build tools (GCP Cloud Build Jenkins Gitlab CI/CD GitHub Actions etc.).

Location: Chennai Bangalore Hybrid (Remote)

Remote Work :

No