3 days ago
Base Salary
$142k - $269k/yr
Responsibilities
- Architect patterns that help AI delivery teams deploy AI and ML models to solve business problems.
- Develop and configure model registries and experiment-tracking systems.
- Set up model-drift detection and observability patterns.
- Create reusable templates and patterns for rapidly creating projects.
- Create centralized CI/CD workflows across ML and AI projects.
- Set up feature stores and online feature serving.
- Design cloud architectures for ML and AI problems.
- Enforce code-quality and data-quality standards while ensuring reproducibility and compliance.
- Initiate and drive projects with minimal oversight and guidance.
Requirements
- Bachelor's degree with 9 years of experience, master's degree with 8 years, or PhD with 4 years.
- Experience in ML/AI engineering, data science, or AI platform engineering.
- Experience with advanced SQL, Python, Spark, and a broad array of ML frameworks.
- Experience architecting advanced analytics and data science platforms.
- Experience with data lakes such as Iceberg or Delta.
- At least 2 years of GenAI application development, LLM prompt engineering, RAG-based solution architecture, chatbots, and AI agents using unstructured and structured data.
- At least 3 years of developing and deploying cloud solutions in AWS or Azure with large datasets and streaming data architectures.
- At least 3 years of using MLflow for model registry, experiment tracking, and model validation.
- Preferred qualifications include pharma data experience, ML/AI or AI platform consulting experience, and at least 5 years in the listed ML/AI engineering, data science, AI platform, SQL, Python, Spark, analytics platform, and data lake areas.
- Ability to operate as a self-starter, work through ambiguity, and initiate and drive projects with minimal oversight.
Benefits
- Comprehensive benefits package including paid time off, vacation, holidays, sick leave, medical insurance, dental insurance, vision insurance, and 401(k) for eligible employees.
- Eligible to participate in long-term incentive programs.
- Travel is approximately 5% of the time.
Categories
Data EngineeringML Engineering
