The Director of AI Engineering is responsible for leading the research, design, development, and deployment of AI solutions as per the business strategy. The director will lead and mentor a team of data scientists and AI engineers to build and operationalize AI-driven products and services.
Requirements
- Collaborate with stakeholders to ensure that technical strategies are in line with ABM's AI roadmap.
- Conduct comprehensive technical research on emerging AI/ML models and technologies to pinpoint viable solutions for development, MVP creation, and deployment.
- Spearhead MVP development and productization by rapidly prototyping and validating promising AI solutions.
- Align AI initiatives with business objectives by offering expert insights on feasibility, scalability, and integration.
- Oversee the development of machine learning models, including those for NLP, computer vision, and predictive analytics.
- Guarantee that AI models are robust, scalable, and optimized for real-world application.
- Lead research into state-of-the-art AI/ML methodologies for business functions or products, such as deep learning, reinforcement learning, and generative AI.
- Collaborate closely with DevOps to streamline the deployment of AI models into production environments. Establish MLops practice and guardrails
- Implement industry best practices for AI/ML pipelines, including model monitoring, versioning, and periodic retraining.
- Ensure seamless integration of AI models with cloud platforms like Azure (Synapse, ADF, Databricks).
- Establish and enforce ethical AI frameworks to promote fairness, mitigate bias, and maintain transparency in AI systems.
- Work with security teams to protect AI models and data from potential threats.
- Partner with key stakeholders to implement and measure the impact of AI solutions across various business functions.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- You may be eligible to participate in a Company incentive or bonus program.
