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.
Principal MLOps Architect/ Engineer (Full-Time)
Location: Hybrid Nashville, TN (3 days on-site, 2 Remote)
Compensation: 160k-170k base + Benefits
- 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.
About the job:
- 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.
About you:
- 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 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
If you meet the required qualifications and are interested in this role, please apply today.
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