MLOps Engineer
Posted 1 day ago by Jobserve
Negotiable
Undetermined
Undetermined
London
Summary: The role of MLOps Engineer requires expertise in Domino and a strong background in Python programming, machine learning model deployment, and production monitoring. The position emphasizes the importance of data science concepts and proficiency in AWS services, alongside effective communication skills. Candidates should also have experience with monitoring tools like Grafana and a solid understanding of CI/CD practices.
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:
- Domino experience
- Python programming
- ML model deployment
- Production monitoring
- Core data science concepts
- AWS services proficiency
- Grafana experience
- CI/CD pipelines understanding
- Version control knowledge
- Containerization and orchestration skills
- Effective communication
- Troubleshooting and incident management
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
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.