Senior Machine Learning Engineer

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

Important: This is a Hybrid Role in Nashville!

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. We're seeking a Principal MLOps Architect for a contract, hybrid role in Nashville, TN. We need local candidates who can work on-site in the offices.

• Architectural Leadership: Lead the architecture and design of our MLOps platform, with a focus on GCP Vertex AI and Kubeflow related platforms. 
•  Responsible AI Solutions: Develop solutions focused on Responsible AI, including explainability, data drift detection, and fairness metrics. Ensure adherence to ethical AI practices. -
• Developer Experience: Drive enhancements to the MLOps platform to optimize developer experiences for data and ML engineers, incorporating streamlined workflows and advanced tools. -
• Collaboration with AI/ML Experts: Collaborate with AI/ML experts across domains such as Computer Vision, NLP, Forecasting, LLMs, and synthetic data. Integrate the latest advancements into the MLOps platform. -
• AI/ML Reliability and Observability: Work closely with the AI/ML Reliability engineering team to develop components that ensure the reliability and observability of our platform. -
• Experience in Platform Development: Candidates should have prior experience working with platform teams, especially in the data and AI/ML space. -
• Cloud Platform Expertise: Proficiency in cloud platforms is essential. Experience in expanding platforms to on-premises and edge deployments is a plus. -
• Cross-functional Collaboration: Ability to work closely with peer cloud teams, data scientists, and product managers to align platform development with organizational objectives.   

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, (or a related field is preferred)
• 10 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, UI, 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 Docker.
• Sound knowledge of ML pipelines (Kubeflow).
• Strong Python programming skills (bare minimum requirement).
• Experience in model development and training.

Compensation & Benefits:

Compensation will be commensurate with experience and skills and Egen’s operational considerations. 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.