Senior MLOps Engineer

4 days ago


Bengaluru, Karnataka, India MiQ Full time
About This Role

We are seeking an experienced MLOps Engineer to lead our machine learning operations team at MiQ. As a key member of our data science department, you will be responsible for automating governance within the machine learning lifecycle and productionizing AI/ML POCs.

Key Responsibilities

  • Lead a high-performance MLOps team focusing on MLOps governance and making ML applications production-ready
  • Work with ML Engineers & data engineers to optimize & scale the AI/ML POCs developed by data scientists
  • Operationalize, grow & support MLOps practice at MiQ with assistance from data engineers, data scientists, devOps specialists
  • Lead automation initiatives across components of ML lifecycle following agile development practices
  • Take end-to-end ownership of ML application pipelines in production, and be able to procure cross-functional support as needed

Requirements

  • 5+ years of experience with designing and building robust, highly scalable and highly available data-driven pipelines and applications
  • 3+ years of experience with ML lifecycle management including - model versioning, model and data lineage, model monitoring, model hosting and deployment, scalability, orchestration, continuous training & deployment, and automated pipelines
  • 3+ years of hands-on experience in building scalable distributed systems for model training, inferencing (batch & real-time) & evaluation of machine learning models
  • Strong ability to design end-to-end ML systems and lead a technical roadmap, work with cross-functional teams, with proven capacity to influence and build alignment


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