Machine Learning Platform Engineer

About the job

Machine Learning Platform Engineer We are seeking a seasoned Machine Learning engineer to join our team and help us design, develop, and operate large-scale ML systems. The ideal candidate will have hands-on experience with LLMs/MCPs, Grafana, and Databricks, as well as strong coding skills in Python. A Master's degree in Computer Science, Engineering, or Artificial Intelligence is required, with proven experience designing, developing, and operating ML systems in production. The successful candidate will be responsible for building and maintaining AI/ML features for our open-source observability platform, collaborating with SREs, service owners, and observability SMEs to ensure scalable, reliable ML model deployment. They will also design and manage data pipelines using Databricks and related tools, use CI/CD and MLOps best practices to automate model deployment and testing, deploy and manage ML infrastructure on AWS or Azure, and establish prompt standards and develop custom MCP integrations between systems. Key Responsibilities: - Design and develop large-scale ML systems, ensuring scalability, reliability, and performance. - Collaborate with cross-functional teams to ensure seamless integration of ML models into the observability platform. - Develop and maintain high-quality AI/ML features, ensuring they meet business requirements and are well-documented. - Stay up-to-date with industry trends and advancements in ML, recommending improvements to the platform and its capabilities. Requirements: - Master's degree in Computer Science, Engineering, or Artificial Intelligence (or equivalent experience). - Proven experience designing, developing, and operating ML systems in production. - Hands-on experience with LLMs/MCPs, Grafana, and Databricks. - Strong coding skills in Python. - Familiarity with Kubernetes, container orchestration, and cloud platforms (AWS/Azure). - Solid understanding of observability pillars (metrics, logs, traces). - Experience implementing OpenTelemetry pipelines for ML systems. - Knowledge of CI/CD, MLOps, and monitoring best practices. What We Offer: - Competitive salary and benefits package. - Ongoing training and professional development opportunities. - Collaborative and dynamic work environment. - Opportunity to work on cutting-edge ML projects.

Requirements

• Machine Learning
• ML Systems
• Python
• Databricks
• Grafana

Qualifications

• Master's degree in Computer Science
• Engineering
• Artificial Intelligence

Preferred Technologies

• Machine Learning
• ML Systems
• Python
• Databricks
• Grafana

Benefits

• Competitive salary
• Ongoing training
• Professional development opportunities
• Collaborative work environment