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About the Role

We are looking for a highly skilled MLOps Engineer to support the end-to-end machine learning lifecycle, from experimentation to production deployment. This role focuses on building scalable, reliable, and automated ML infrastructure, enabling data science teams to deliver production-ready models efficiently and confidently.

Responsibilities

• Design, build, and maintain production-grade ML pipelines on Databricks
• Operationalize ML models, including deployment, monitoring, and lifecycle management
• Build and maintain CI/CD pipelines for ML workflows
• Develop and manage real-time and streaming data pipelines
• Collaborate closely with Data Scientists to productionize models efficiently
• Implement model versioning, experiment tracking, and reproducibility
• Define and enforce ML best practices, governance, and quality standards
• Monitor model performance and data drift; implement automated retraining strategies
• Optimize performance, scalability, and cost of distributed workloads
• Contribute to platform design for low-latency inference and scalable serving

Requirements

• Strong experience with Databricks (Workflows, MLflow, Delta Lake)
• Deep expertise in Apache Spark (batch and streaming)
• Advanced Python skills (production-quality code)
• Hands-on experience with streaming / real-time systems
• Proven experience designing and implementing CI/CD pipelines
• Strong understanding of the ML lifecycle (training → deployment → monitoring → retraining)
• Experience building scalable, distributed data and ML pipelines

Skills

• Snowflake
• Kubernetes
• Docker
• Terraform
• Feature stores
• Event-driven architectures (Kafka)
• Model serving frameworks
• Low-latency APIs
• Monitoring and observability tools (ELK or similar)
• A/B testing / experimentation frameworks
• LLM deployment and serving
• RBAC, security, and governance in data/ML platforms
• Cloud environments (Azure preferred)

Benefits

• Comprehensive benefits package
• Health and well-being support
• Future planning support
• Work-life balance support

About the Company

• Our team members are the key to our company’s success, and their health and well-being, as well as that of their families, is very important to us.