Senior MLOps Engineer

Remote

Job Description

About Egen:

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.

Want to learn more about life at Egen? Check out these resources in addition to the job description.

Meet Egen

Life at Egen

Culture and Values at Egen

Career Development at Egen

Benefits at Egen

About the opportunity:

Drive the future of our client's AI/ML infrastructure! Lead the design and development of their cutting-edge platform, ensuring responsible, reliable, and efficient machine learning operations.

About the Role:

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

Basic Qualifications:

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 developmentGreat 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 skillsExperience in model development and training

Compensation & Benefits:

This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:

- Comprehensive Health Insurance

- Paid Leave (Vacation/PTO)

- Paid Holidays

- Sick Leave

- Parental Leave

- Bereavement Leave

- 401 (k) Employer Match

- Employee Referral Bonuses

Check out our complete list of benefits here - >https://egen.ai/people/#benefits

Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.

EEO and Accommodations:

Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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