MLOps Engineer

MLOps Engineer

Posted 1 day ago by Intuition IT Solutions Ltd

Negotiable
Undetermined
Undetermined
London, UK

Summary: The role of MLOps Engineer requires expertise in Python programming and experience with ML model deployment and monitoring. Candidates should have a solid understanding of data science concepts and proficiency in AWS services. Familiarity with the Domino Data Lab platform is preferred, along with strong communication and troubleshooting skills.

Key Responsibilities:

  • Extensive experience in Python programming
  • Strong experience with ML model deployment and production monitoring
  • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance
  • Proficiency in AWS services (like S3, RedShift etc)
  • Experience with Grafana for monitoring and alerting
  • Good to have hands-on experience with Domino Data Lab platform
  • Solid understanding of CI/CD pipelines, version control, containerization, and orchestration
  • Ability to communicate effectively with internal and external stakeholders
  • Excellent troubleshooting and incident management skills

Key Skills:

  • Extensive experience in Python programming
  • Strong experience with ML model deployment and production monitoring
  • Working knowledge of core data science concepts
  • Proficiency in AWS services
  • Experience with Grafana
  • Hands-on experience with Domino Data Lab platform (preferred)
  • Understanding of CI/CD pipelines, version control, containerization, and orchestration
  • Effective communication skills
  • Troubleshooting and incident management skills

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Domino experience is must to have

Required Skills & Experience

  • Extensive experience in Python programming
  • Strong experience with ML model deployment and production monitoring.
  • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance.
  • Proficiency in AWS services (like S3, RedShift etc)
  • Experience with Grafana for monitoring and alerting.
  • Good to have hands-on experience with Domino Data Lab platform.
  • Solid understanding of CI/CD pipelines, version control, containerization, and orchestration.
  • Ability to communicate effectively with internal and external stakeholders.
  • Excellent troubleshooting and incident management skills.