Description

You design and build AI/ML system architectures from concept through production deployment.

This role is on-site.

Responsibilities

• Design AI/ML system architectures and define AI strategy in partnership with product and engineering teams.
• Evaluate and select models, tools, frameworks, and cloud services for scalable solutions.
• Design data pipelines, model serving infrastructure, monitoring, and governance systems.
• Define best practices for security, privacy, compliance, and MLOps.

Required Skills

• 6+ years in software engineering, data engineering, or ML systems.
• Strong experience designing distributed systems and cloud architecture.
• Hands-on experience with ML/LLM systems and model deployment.
• Strong understanding of Data Pipelines, APIs, and system integration.
• Experience with cloud platforms including AWS, GCP, and Azure.
• Familiarity with MLOps practices.
• Knowledge of MLflow, Kubeflow, and SageMaker.

Preferred Skills

• Experience with vector databases and RAG pipelines.
• Prior consulting or solution architecture experience.

Key Skills

Education

Any Gradute