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.
Top Skills
What We Do
Egen is a data engineering and cloud modernization firm partnering with leading Chicagoland companies to launch, scale, and modernize industry-changing technologies. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary.
Our mission is to be an enabler of amazing possibilities for companies looking to use the power of cloud and data. We want to stand shoulder to shoulder with clients, as true technology partners, and make sure they succeed at what they have set out to do. We want to be disruptors, game-changers, and innovators who have played an important part in moving the world forward.