Senior Data Scientist

TI Fluid Systems-posted 4 months ago
Senior
Auburn Hills, MI
5,001-10,000 employees
Transportation Equipment Manufacturing
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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.

  • 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 explainability, fairness, and governance.
  • 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.
  • 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.
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