Company Profile:

Tekion Corp, founded in 2016 by former Tesla CIO Jay Vijayan, is a cloud technology company headquartered in Pleasanton, California. Specializing in the automotive retail industry, Tekion offers a comprehensive cloud-native platform known as the Automotive Retail Cloud (ARC). This platform integrates various aspects of automotive retail operations, including sales, service, and customer engagement, aiming to enhance efficiency and customer experience.

Job description:

Key Responsibilities:
• Provide strategic direction and technical leadership in applying machine learning/ AI within the organization, aligned with company goals and challenges.
• Influence R&D roadmap based on deep industry understanding and business needs. Drive innovation with novel solutions in the automotive industry, advancing applied science through latest research implementation.
• Act as a key liaison between R&D and stakeholders, ensuring technical alignment with business objectives.
• Collaborate with cross-functional teams to define and integrate machine learning solutions into products and services.
• Publish research in top conferences, advancing field knowledge.
• Provide mentorship to applied scientists, ensuring project success. Contribute to team growth through training and collaborative projects.
• Define metrics for model evaluation in offline and real-time settings. Quantify and communicate ML impact to executives, influencing decisions.
• Champion ethical AI practices, ensuring compliance and standards.
• Define best practices for ML model development, testing, validation, and monitoring.
• Demonstrate data-driven business acumen and technical expertise across development lifecycle.
• Maintain technical excellence in algorithm development and deployment.
 

Skills & Qualifications:
• Candidate should be proficient in SQL and Python, with familiarity in Spark considered advantageous. 

The ideal candidate will demonstrate expertise in: 

1. Proficient in Machine Learning, Deep Learning and Explainable AI concepts with the ability to explain them clearly to non-technical audiences .

2. Experienced in developing and adapting state-of-the-art models for specific business needs, demonstrating a track record of success in complex, cross-functional projects. 

3. Utilizing Probability and Statistics to derive meaningful insights from data. 

4. Proficient in deep learning frameworks like TensorFlow, Keras, and PyTorch, and utilizing computer vision (OpenCV)and natural language processing (spaCy) libraries. 

5. Implementing deep learning techniques, particularly Neural Networks. 

6. Applying both fundamental and advanced Natural Language Processing concepts. 

7. Implementing Computer Vision methodologies.
8. Experience with Large Language Models is a must. Should be able to write precise prompts covering
multiple aspects of the intended tasks. 

9. Utilizing Git for efficient code management and version control. 

10. Leveraging cloud platforms such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services.

11. Should be well versed with Design of Experiments.

• Bachelors/ Masters / PhD in Data Science, Mathematics, Operations Research or related field. The right candidate has a background in probability and statistics, applied mathematics, or computational science and a history of solving difficult problems with good business impact using a scientific approach.
• Experience working with major ML algorithms and frameworks.
• 3-15 years of hands-on experience with analytics, data science and big data experience in a business context.
• Experience with data visualization and presentation, turning complex analysis into insights.
 

Perks and Benefits:
• Competitive compensation.
• Generous stock options.
• Medical Insurance coverage.
• Work with some of the brightest minds from Silicon Valley’s most dominant and successful
companies.