Senior MLOps Engineer
4 days ago
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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