Description

You will design and implement cloud solutions and build MLOps pipelines across AWS, MS Azure, or GCP environments.

Responsibilities

• Build and maintain MLOps pipelines on cloud platforms.
• Design custom integrations between cloud-based systems using APIs.
• Develop and maintain ML systems using open-source tools.
• Translate business needs into technical requirements.
• Implement software testing, benchmarking, and continuous integration.

Required Skills

• 6+ years of experience in MLOps.
• Proficiency in Python and Linux administration.
• Strong knowledge of Kubernetes and Docker.
• Experience with AWS, MS Azure, or GCP.
• Hands-on experience with MongoDB and Apache SOLR.
• Experience building CI/CD pipelines.
• Knowledge of ML models and LLM.
• Experience with microservices architecture.
• Familiarity with workflow orchestration frameworks like Kubeflow, Airflow, or Argo.

Preferred Skills

• Experience with MLFlow or DataRobot.
• Knowledge of software development and test automation.

Key Skills

Education

Any Gradute