Senior MLOps Engineer

Role Description

It is a remote job for a 3-month contract (extendable). Design and operate production-grade ML systems that are reliable, scalable, and fully observable.
Own the transition of models from experimentation to high-throughput services.
Prevent model decay and reduce data science operational load through automation and monitoring.

Qualifications

• 5+ years in Data Science/ML with 3+ years in MLOps or Production Engineering
• Proven experience deploying and maintaining production ML services
• Strong Python and SQL expertise
• Experience working with cloud platforms (AWS, Azure, or GCP)
• Background integrating ML with business systems (ERP, CRM, Supply Chain)
• Experience collaborating with Data Engineering and DevOps teams
• Ability to build resilient systems in legacy or imperfect environments

Responsibilities

• Architect and deploy ML models across the full lifecycle
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