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Engineering new possibilities with platforms, data, and generative AI
Senior MLOps Engineer
Location
United States
Posted
136 days ago
Salary
0
Seniority
Senior
Job Description
Senior MLOps Engineer
Egen
• Design and implement MLOps pipelines to automate model training, deployment, monitoring, and management • Lead/mentor a team of MLOps Engineers, fostering an inclusive and collaborative environment that encourages innovation and continuous learning • Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable • Develop strategies for model versioning, testing, and deployment to facilitate a seamless and efficient development lifecycle • Monitor model performance and data drift, implementing automated alerts and processes for model retraining and optimization • Develop and maintain platforms and applications that serve as foundational components for robust and scalable ML pipelines • Stay at the forefront of MLOps trends, tools, and technologies, integrating new approaches to enhance our ML operations and infrastructure
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (or equivalent work experience)
- 4+ years of experience in the technology or data field
- Proficient engineering and coding skills in Python and other languages
- Strong background in AI/ML or Data Sciences technologies and platform development
- Great multi-disciplinary knowledge of technology space (data, cloud, ops, security)
- Excellent communication, leadership, and project management skills
- Proficient in Infrastructure as a Code (Terraform)
- Strong background in CI/CD workflows
- Mastery in containerization and and container orchestration platforms
- Sound knowledge of ML pipelines (Kubeflow, Dagster, etc.)
- Strong Python programming skills
- Experience in model development and training
Benefits
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
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