AI/ML Technical Enablement Specialist

DESCRIPTION

Key Responsibilities:

• Investigate electronic application and systems problems, analyze causal mechanisms, recommend appropriate actions, and own problem resolution with documentation.
• Apply and improve electronic application and systems development processes, including system specification, modeling, simulation, calibration, DVP&R, and troubleshooting.
• Collaborate with customers, technical and product teams, manufacturing engineers, suppliers, and stakeholders to deliver recommendations leading to quality product decisions.
• Make decisions in areas of system design, requirements, calibration, and testing that impact subsystem quality and performance.
• Review work of less-experienced developers/testers to ensure robust, reusable, and efficient design.
• Provide independent leadership for smaller projects or ownership of complex components, products, systems, or services with higher ambiguity.
• Coordinate and direct work amongst technicians and student employees; mentor and transfer knowledge to junior engineers.
• Deliver independent execution of established and emerging work processes while continuously developing technology or product knowledge.
• Facilitate a 12-week applied data science learning experience for engineers and technical staff.
• Coach participants in using tools like Databricks, Amazon Q, Palantir, and ChatGPT for agent-based automation.
• Guide learners in both code-based and low/no-code workflows to increase accessibility and impact.
• Support learners in using Python-based tools (e.g., Pandas, Scikit-learn) and low-code platforms (e.g., Power BI, Dataiku).
• Integrate LLM use cases such as prompt-driven analytics, code generation, and auto-documentation.
• Review learner projects and provide personalized feedback to strengthen data science maturity.
• Maintain a supportive coaching environment and collaborate to improve curriculum and resources.

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• This position may require licensing for compliance with export controls or sanctions regulations.

• Builds networks - Building strong formal and informal relationships inside and outside the organization.
• Communicates effectively - Delivering clear and tailored communications to different audiences.
• Decision quality - Making good and timely decisions to keep projects moving forward.
• Drives results - Achieving results consistently, even under tough circumstances.
• Manages complexity - Making sense of complex information to solve problems effectively.
• Resourcefulness - Securing and deploying resources efficiently.
• Values differences - Recognizing and leveraging diverse perspectives and cultures.

• Prior Senior or Lead Engineer equivalent work experience in a relevant discipline with a demonstrated track record of technical problem solving and quality decision-making.
• 2+ years in data science, analytics, engineering, or applied ML roles.
• 1+ years teaching, mentoring, or delivering bootcamps/training programs.
• Experience using LLMs like ChatGPT to enhance analytics or build internal tools.
• Familiarity with MS Office tools preferred.

• Teaching & Mentoring technical staff.
• Expertise in Data Analysis or Data Science.
• Engineering or Technical Datasets; ideally an engineering background with data science skills to coach engineers effectively.
• Familiarity with platforms like Databricks, Palantir, Jupyter.
• Design and Application of Mechatronics Systems.
• Machine Integration and Optimization.
• Product Function Modeling, Simulation, and Analysis.
• Product Problem Solving.
• Product Verification and Validation Management.
• System Requirements Engineering.
• Systems Thinking.
• Design and Application of Open/Closed Loop Controls.