Data/​ML Ops Engineer - Remote Position

About the Role

We are looking for a talented Data/ML Ops Engineer to join our team remotely. In this role, you will support the data preparation and AI workflow integration for our clients' products. As a Data/ML Ops Engineer, you will ensure that AI pipelines are performant, secure, and ready for demonstration during the validation phase.

What You'll Do

• Prepare structured and unstructured data for RAG pipelines.
• Configure and manage vector databases and embeddings.
• Collaborate with AI engineers to integrate data into demo workflows.
• Ensure pipeline reliability, reproducibility, and observability.
• Support versioning, experimentation, and deployment infrastructure.

Requirements

• 3-5 years of experience in ML Ops, Data Engineering, or AI pipeline operations.
• Familiarity with LLM tuning, prompt engineering, or semantic search.
• Experience with cloud platforms (AWS/GCP/Azure).
• Understanding of security and privacy in AI data pipelines.
• Comfortable working on short-term, high-impact innovation sprints.
• Experience working in agile environments.

Nice to Have

• Experience with AWS Bedrock and Anthropic Claude models.
• Knowledge of PostgreSQL (RDS), AWS S3 (versioned, encrypted).
• Familiarity with AWS services like ECS Fargate, Lambda, and EventBridge.

What We Offer

• Competitive salary ranging from $120,000 to $150,000 annually.
• Fully remote work environment with flexible hours.
• Opportunity to work with cutting-edge technologies in AI and machine learning.
• Collaborative and innovative team culture.
• Professional development opportunities and support for continuous learning.