Senior Model Steward-3

Your responsibilities will include:

• Model Lifecycle Management

  : Oversee and document the end-to-end lifecycle of models, from development to deployment and decommission, ensuring compliance with external expectations and internal policies and standards. You will track compliance progress for your portfolio and report it to the Data and Model Governance team.

• Collaboration

  : Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to integrate model governance controls into the model development and deployment processes.

• Risk Assessment

  : Evaluate risks associated with AI use cases, considering factors such as reliability, use of third-party models, performance degradation, bias, fairness, and interpretability. Develop and implement strategies to mitigate identified risks.

• Documentation and Registration

  : Create and maintain comprehensive documentation for AI use cases, including preprocessing steps, training techniques and model architecture. Promote transparency in model development and decision-making processes, ensuring high data quality of all governance-related artifacts.

• Monitoring and Performance Evaluation

  : Establish monitoring protocols to track the performance of deployed models in real-world scenarios. Configure (semi-)automated systems to detect drifts, and other performance issues.

• Education and Training

  : Prepare trainings and upskilling opportunities on best practices for model governance. Stay current on industry trends and advancements in model governance and ethics, and share knowledge within the organization via the Data and Model Stewardship Network.

About You:

• Education: BSc/ MSc or equivalent experience in a relevant technical field (eg, Data Science, Statistics, Computer Science, etc).
• Strong programming skills (Python, R, etc), experience with data science libraries (TensorFlow, PyTorch, scikit-learn) and cloud technologies (AWS, Azure, GCP).
• Excellent communication and stakeholder management skills.

• 6+yrs

  Experience and proven track-record applying collaborative problem-solving, negotiation, and change management skills.
• Proven experience in model governance, risk management with expertise in one of the following specializations:
• Research Specialist: Proven experience in researching and implementing model governance strategies, especially for Large Language Models (LLMs).
• Engineer: Background in DevOps engineering, with a focus on AI model deployment.
• Analyst / Data Engineer: Expertise in data engineering, analytics, and data processing, with a focus on ensuring high-quality input data for models.