We are seeking a agile AI/ML – Innovation Engineer to spearhead the integration of advanced artificial intelligence and machine learning technologies within the IT Services sector. This pivotal role focuses on leveraging cutting-edge data science to drive innovation in automotive systems, predictive maintenance, and vehicle diagnostics. The successful candidate will play a critical part in transforming raw data into actionable insights, fostering the development of next-generation solutions that enhance operational efficiency and product reliability. By bridging the gap between complex algorithms and practical engineering applications, this position is essential for advancing our capabilities in Generative AI, patent development, and warranty analytics.
Responsibilities
- Design and deploy sophisticated machine learning models and predictive algorithms to optimize automotive engineering processes and system performance.
- Lead initiatives in Generative AI and telematics to improve vehicle diagnostics and drive predictive maintenance strategies.
- Collaborate with cross-functional teams to apply Computer-Aided Design (CAD/CAE) and Design for Manufacturing (DFM) principles within AI-driven frameworks.
- Conduct in-depth analysis of warranty data and telematics streams to identify trends, reduce costs, and improve product quality.
- Drive the intellectual property strategy by developing patents and technical documentation related to innovative AI/ML applications in the automotive domain.
- Utilize Python and other relevant programming languages to build scalable software solutions that support automotive systems and aftersales operations.
- Continuously evaluate emerging technologies to ensure the organization remains at the forefront of innovation in the IT and automotive sectors.
RequirementsRequirements:
- Possess a minimum of 3 to 6 years of professional experience in Artificial Intelligence, Machine Learning, and related data science fields.
- Demonstrate strong proficiency in Python and core machine learning libraries for model development and deployment.
- Exhibit a solid background in predictive modeling, with specific experience in applying these techniques to automotive engineering or systems.
- Show familiarity with CAD/CAE tools and Design for Manufacturing (DFM) concepts to effectively integrate AI solutions into physical product lifecycles.
- Have proven expertise in areas such as Generative AI, Telematics, Vehicle Diagnostics, and Warranty Analytics.
- Display a track record of contributing to Patent/IP Development through technical innovation and documentation.
- Maintain a deep understanding of the automotive industry landscape, including systems architecture and aftersales service dynamics.