Lead AI Engineer
USD 110K-155K (estimate) Senior-level Full Time
Tasks
- Build and evolve data science and AI platform
- Define analytics ML and AI engineering roadmap
- Design and ship applied AI systems
- Ensure MLOps and AIOps discipline
- Formulate UX strategies for adoption
- Identify revenue and efficiency opportunities using analytics and AI
- Lead end to end ML statistical and generative AI delivery
- Mentor data scientists and analysts through technical reviews
- Own architecture and standards for forecasting and recommender systems
- Participate in data governance and improve data quality
- Perform prediction modeling and customer lifetime value analysis
- Provide feature store and reusable components
- Represent analytics with senior business and technology stakeholders
- Respond to high impact ad hoc requests
Perks/Benefits
- 401k company match
- Dental insurance
- Employee assistance program
- Employee pricing program
- Health insurance
- Learning and development opportunities
- Paid sick days
- Paid vacation
- Travel discounts
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
AIOps | Azure DevOps | Azure OpenAI | CI/CD | Databricks | Evaluation | FastAPI | Feature Store | Generative AI | Guardrails | LLM orchestration | MLOps | Machine Learning | Model Monitoring | NLP | Power BI | Prompt engineering | Python | React | Retrieval-Augmented Generation | SQL | TTS
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Engineer | Data Scientist | Engineer | Lead | Lead AI | Lead AI Engineer | Lead Data | Lead Data Scientist | Scientist
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