Senior Staff, Applied Science

Tekion Corp

Bengaluru, India
On-site
Ph.d. or m.s. in quantitative discipline
10+ years applied science experience
Deep learning frameworks tensorflow pytorch keras
Tekion Corp is seeking a Senior Staff Applied Scientist to lead the development of AI-driven solutions within its innovative automotive platform. The role requires a deep understanding of machine learning, strong collaboration skills, and the ability to translate complex research into actionable business strategies

Job Summary

  • Tekion seeks a Senior Staff Applied Scientist to architect the future of AI-driven solutions at an enterprise scale.
  • The role requires translating complex research into tangible business value while steering the R&D roadmap for emergent technologies.
  • Candidates must demonstrate mastery in Deep Learning, Large Language Models, and Causal Inference with a proven history of solving business-critical problems.

Matching Summary

Match Score: 85

Tekion Corp is seeking a Senior Staff Applied Scientist to lead the development of AI-driven solutions within its innovative automotive platform. The role requires a deep understanding of machine learning, strong collaboration skills, and the ability to translate complex research into actionable business strategies.

Skills & Requirements

Must-have

  • Ph.D. or M.S. in quantitative discipline
  • 10+ years applied science experience
  • Deep Learning frameworks TensorFlow PyTorch Keras
  • Large Language Models LLMs prompt engineering
  • Python SQL distributed computing Spark
  • Causal Inference Explainable AI expertise
  • Cloud platforms GCP Azure AWS

Nice-to-have

  • Automotive industry domain expertise
  • Recommendation Engines experience
  • Advanced NLP methodologies spaCy OpenCV
  • First-principles problem solving approach
  • Academic publication track record
  • Cross-functional leadership skills
  • Ethical AI governance commitment

Key Requirements

  • Minimum 10+ years post-academic experience
  • Advanced degree (Ph.D. or M.S.) required
  • Proven track record in model deployment
  • Experience with experimental design A/B testing
  • Strong data visualization and presentation skills

Work Rights

Not specified

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