Description

You will own the infrastructure and deployment lifecycle for AI/ML models.

Responsibilities

• Implement and maintain ML Ops workflows and CI/CD pipelines.
• Integrate and deploy GenAI solutions using relevant AI SDKs.
• Manage containerized deployments using Docker and Kubernetes.
• Operate and support AI/ML systems within cloud environments.

Required Skills

• 4+ years of hands-on experience in AI/ML engineering or related operations.
• Proficiency in Python and core ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with GenAI and integrating AI SDKs (e.g., OpenAI, LangChain).
• Hands-on experience with cloud platforms: AWS, Azure, or GCP.
• Familiarity with DevOps practices and ML Ops tooling.
• Working knowledge of containerization technologies like Docker and Kubernetes.

Preferred Skills

• Experience in AIOps domains.

Key Skills

Education

Bachelor's or Master's degrees