Senior MLOps Engineer

We are looking for a Senior MLOps Engineer to ensure the reliability, safety, performance, and continuous improvement of large-scale machine learning and AI systems in production. The role involves designing, implementing, and maintaining monitoring and alerting for ML and AI operational signals, building and operating robust evaluation and testing pipelines, and collaborating with infrastructure and platform teams to ensure stable, performant, and cost-efficient AI inference.

Requirements

• High proficiency in Python (Pandas, NumPy, Scikit-learn) for scripting, analysis, and maintaining production models
• Strong SQL skills for querying, data manipulation, and operational data checks
• Experience building or maintaining GenAI / agentic solutions
• Solid understanding of classical ML algorithms, model evaluation, and challenges like drift and bias
• Hands-on experience with model monitoring using Prometheus, Grafana, or cloud-native tools
• Experience with Azure (Databricks, Azure Machine Learning, etc.) for deployment and resource management

Benefits

• Opportunity to work with a dynamic and inclusive community of bright and supportive colleagues
• Chance to develop a career in a supportive and autonomous environment
• Access to numerous development programs and interactive tools
• Mentorship opportunities for junior consultants