Sr Machine Learning Engineer (MLOps)

📋 Description

• Design, build, and maintain reliable deployment pipelines that move ML models from development and
• Establish model versioning, lineage, registry, and automated model promotion practices.
• Define repeatable production-readiness standards and deployment patterns across machine learning
• Partner with Data Scientists to make model handoffs efficient, consistent, and production-ready.
• Own production monitoring for model performance, drift, data quality, inference health, latency
• Establish alerts and operational thresholds that identify degradation before it materially impacts

🎯 Requirements

• 6+ years of experience in software engineering, data engineering, machine learning engineering, or
• 3+ years of hands-on experience deploying and operating AI or machine learning systems in
• Demonstrated experience supporting both traditional machine learning and LLM-based workloads in
• Strong understanding of the complete model lifecycle, including development, validation
• Production experience with LLM-powered applications and agentic frameworks.
• Experience with retrieval architectures, generative AI evaluation methodologies, and production

🎁 Benefits

• Competitive, market-aligned compensation for India.
• Full-time employment through an Employer of Record partner.
• Remote working environment within India.
• Competitive local benefits provided through the Employer of Record.
• Ongoing professional development opportunities.
• Opportunity to work directly with U.S.-based Data and Technology teams.