Teqfocus - Data/ML Platform Engineer

Role :

Architect the environment. You won't just build pipelines; youll build the infrastructure that allows ML Engineers and AI researchers to work at speed. Your goal is to make the platform seamless, scalable, and secure.

Key Responsibilities :

- Manage and optimize Databricks clusters and Snowflake instances.

- Implement and maintain infrastructure as code (Terraform/CloudFormation) on AWS.

- AI Infrastructure : Set up and govern AI services like AWS Bedrock, vector databases, and agent-building platforms to empower ML teams.

- Ensure the platform handles high-concurrency workloads and autoscaling requirements.

Must Have :

- Deep expertise in AWS services (S3, EC2, IAM, EKS, Bedrock).

- Experience managing Databricks workspaces and Snowflake administration.

- Strong background in Linux, Docker, and Kubernetes.

Good to Have :

- Apache Iceberg : Hands-on experience implementing Iceberg for storage optimization and cross-tool compatibility.

- Experience with model serving frameworks and LLM gateway configurations.