Senior Data Scientist

Position Summary:

TI Automotive is launching a new AI department to drive enterprise-wide transformation through predictive and generative AI solutions. We are seeking a Senior Data Scientist to lead this technical charge—someone who combines deep machine learning expertise with strong leadership and business acumen, particularly in the automotive supplier space.

This is a rare opportunity to shape a newly forming team, mentor top talent, and build scalable AI solutions that improve manufacturing efficiency, supply chain resilience, and customer experience. Your leadership will be instrumental in making AI a strategic advantage for TI Automotive.

Key Responsibilities:

• Translate complex business challenges into high-impact predictive and generative AI use cases.
• Collaborate with stakeholders across engineering, IT, and business functions to align AI efforts with organizational priorities.
• Lead a team of machine learning engineers to design, build, and deploy end-to-end AI solutions across various business domains.
• Mentor and grow a high-performing technical team, fostering a culture of innovation, accountability, and continuous learning.
• Provide technical direction in model architecture selection, training strategy, performance evaluation, and deployment.
• Oversee development and optimization of ML pipelines, MLOps workflows, and cloud-native AI platforms (preferably Azure).
• Stay ahead of emerging AI trends—especially in GenAI and Agentic AI—and strategically integrate them where valuable.Ensure responsible AI practices by promoting model explain ability, fairness, and governance.

Minimum Qualifications:

• Bachelor in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field.
• 10 years of experience in AI/ML, including at least 3 years in a technical leadership or managerial role.
• Proven experience building and deploying AI solutions in the automotive industry, with strong domain knowledge in manufacturing, logistics, or quality systems.
• Deep hands-on expertise in predictive modeling, deep learning (CNNs, Transformers), and GenAI technologies (LLMs, RAG, embeddings, vector databases).
• Experience leading teams building production-grade ML systems using MLOps practices and cloud infrastructure (Azure preferred).
• Excellent communication skills with the ability to explain complex technical topics to both technical and non-technical stakeholders.
• Candidates must reside in the Detroit Metropolitan area and able to work onsite 5 days a week.

Preferred Qualifications:

• Background in deploying predictive solutions in automotive industry or related domains – Manufacturing, Supplychain, Finance etc.
• Experience with agent-based AI systems and applied use of LLMs in enterprise environments.
• Knowledge MLOps, model lifecycle management, and responsible AI practices.

The Ideal Candidate:

• You are a hands-on technical leader who thrives on mentoring and empowering engineering talent.
• You understand the unique challenges and opportunities in the automotive space and are eager to apply AI to solve them.
• You are comfortable with ambiguity and excited to build from the ground up.
• You lead with vision, communicate with clarity, and act with purpose.
• You are passionate about turning AI potential into real-world business value.

Physical Requirements:

• Regular and predictable attendance.
• Ability to work at a personal computer for extended periods of time.
• Ability to tolerate stress.

EEO Statement: 

TI Fluid Systems is committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, pregnancy status, disability, gender identity or Veteran status.