AI/ML Data Specialist

Job Description

AI/ML Data Specialist

Your Tasks

Lead technology innovation projects in the field of advanced analytics, including predictive maintenance and machine learning, for commercial vehicle, transportation & new technology fields applications.
Invent and develop new end-to-end system that gather relevant data on embedded systems with resource constraints and fluctuating network access, use cloud computing to create prediction models / digital twins.
Identify and propose data driven insights from automotive data which can help business to add value to company customers for existing products. Able to see value of the data driven insights for end customers and influence business teams.
Work together with the global innovation team to support each phase of development, user validation process and propose solutions (products and/or services) that might lie between organizational borders. While doing, co-ordinate and execute PoC (Proof of Concept) activities for collaboration between departments, start-ups.
Work with business and technical leadership to set strategic priorities and scope. Maintain regular communication with internal stakeholders to understand a (‘live’) technology, market needs & interests mandate.
Act as technical ‘sparring partner’ & advisor to your internal network: team leader, innovation director, technology and innovation officer, Global Innovation Domain Managers, chief engineers & business hub leaders and internal data scientists and experts. Cultivate an external network of accelerator programs, research institutes and other strategic partners.

Your profile

Bachelor’s degree or above majored in mechanical, electronic, automotive, aerospace, information/computer science, or similar.
Minimum experience of 10+ years in either automotive or embedded domain.
5+ years of experience in data engineering and advanced analytics (including machine learning as well as predictive maintenance)
Experience of ML/AI applications on embedded platforms and knowledge on automotive data, networks, sensors would be an added advantage.
Knowledge of Design Thinking, Design of Experiments & Proactive Problem-Solving Methodology considered beneficial.
Proven team player with international mindset that also has experience building, forming and leading projects teams. Highly self-motivated and self-managed individual, not afraid to do the heavy lifting.
Good communication and presentation skills and able to engage collaboratively with internal and external stakeholders.