Tekion is looking for an experienced Applied Scientist to help shape the future of the Automotive Industry. At Tekion, we transform the end-to-end experience of customers in automotive. Candidate should be a self-starter, comfortable with ambiguity, have an affinity for building things from scratch, demonstrate strong attention to detail, and have the ability to work in a fast-paced, complex and ever-changing environment.

You'll be able to bring your unique skills and expertise to shape the direction of our Machine Learning team. You will have an opportunity to work with state-of-the-art machine learning algorithms on large datasets. We are looking for highly motivated applied scientists interested in delivering the next level of innovation for Tekion.

Responsibilities :

- Provide strategic direction and technical leadership in applying machine learning/ AI within the organisation, 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 the 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 the development lifecycle.

- Maintain technical excellence in algorithm development and deployment.

Requirements :

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

- 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.

- Utilising Probability and Statistics to derive meaningful insights from data.

- Proficient in deep learning frameworks like TensorFlow, Keras, and PyTorch, and utilising computer vision (OpenCV) and natural language processing (space libraries.)

- Implementing deep learning techniques, particularly Neural Networks.

- Applying both fundamental and advanced Natural Language Processing concepts.

- Implementing Computer Vision methodologies.

- Experience with Large Language Models is a must.

- Should be able to write precise prompts covering multiple aspects of the intended tasks.

- Utilising Git for efficient code management and version control.

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

- Should be well-versed in the Design of Experiments.

- Bachelor's/Master's / 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.

- Significant experience in Data Science and Machine Learning with a strong proven track record in delivering positive business impact.

- 14+ years of hands-on experience with analytics, data science, and big data experience in a business context.

- Experience in programming in Python or similar languages.

- Experience with data visualisation and presentation, turning complex analysis into insights.

- Experience in Recommendation Engine and Natural Language Processing.

- Domain knowledge of the automotive industry.

- Enjoys discovering and solving problems; proactively seeking clarification of requirements and direction; and being a self-starter who takes responsibility when required.

- Strong interpersonal, verbal, visual, and presentation skills, ability to communicate complex findings in a simple manner to executives.

- Ability to work collaboratively across multiple products and application teams.

- A willingness to learn, share, and improve.