Description

Key Responsibilities

1. Client Coaching & Business Problem Solving

● Serve as the primary technical coach and advisor to clients enrolled in enablement and training

programs.

● Guide client teams through diagnosing business problems and identifying high-impact data science

and analytics solutions.

● Provide continuous mentorship, design reviews, and troubleshooting to help clients successfully

deliver their projects.

2. Enablement, Training & Content Refinement

● Continuously evaluate, refine, and enhance existing training curricula, technical workshops, and

starter templates.

● Develop new reusable frameworks, best practice guides, and code templates to streamline client

onboarding and technical execution.

3. Solution Design & Implementation

● Lead architectural design and hands-on implementation of end-to-end data, machine learning and

AI solutions.

● Build scalable data pipelines, predictive models, and interactive analytical dashboards for client use

cases.

4. MLOps & Productionization

● Guide clients through MLOps best practices, including model deployment, CI/CD pipelines,

monitoring, and model governance.

● Assist in transitioning prototype models into robust, production-ready enterprise environments.

Qualifications & Skills

Technical Proficiency

● Programming Languages: Advanced proficiency in Python and SQL.

● Data & Analytics Platforms: Hands-on expertise with Databricks and Power BI.

● AI & Developer Tools: Familiarity with AI-assisted development tools (e.g., Codex, GitHub Copilot).

● MLOps & Productionization: Proven experience with MLOps frameworks, deployment practices,

model monitoring, and automated pipelines.

Experience & Domain Knowledge

● Automotive Industry Experience: Prior experience or strong domain knowledge in the Automotive

industry (e.g., supply chain, connected vehicle data, dealership analytics, predictive maintenance)

is highly preferred.

● Client-Facing Skills: Demonstrated success in client-facing roles such as Solutions Architect, Data

Science Consultant, Technical Enablement Lead, or Coach.

● Communication: Exceptional verbal and written communication skills with the ability to explain

complex technical concepts to both technical teams and business stakeholders.

What Success Looks Like

● Client Empowerment: Clients successfully complete their training programs and deploy functional

data/ML solutions to production.

● Program Continuous Improvement: Measurable improvements in client satisfaction and

engagement due to upgraded training materials and templates.

● Business Impact: High adoption rates of modern MLOps and analytics practices among client

teams

Key Skills

Education

Bachelor's degree