Senior AI/ML Engineer

Key Responsibilities:

• Develop and implement intelligent recommendation systems auto selection of test cases based on changes delivered by development team to system software.

• Design AI-based frameworks to automatically generate comprehensive and intelligent test cases, improving validation efficiency and coverage.

• Ensure robust testing methodologies for diverse infotainment functionalities, including edge-case handling.

• Build and deploy predictive models that analyze system data to anticipate failures, reduce downtime, and optimize performance.

• Leverage machine learning to monitor and forecast software health in infotainment systems.

• Utilize large-scale datasets to refine recommendation systems, improve test case automation, and enhance predictive maintenance strategies.

• Work closely with software developers, QA teams and automotive engineers to integrate AI solutions seamlessly into the infotainment test framework.

• Collaborate with cross-functional teams to address challenges and ensure optimal system performance.

Preferred Qualifications:

• Bachelor’s/master’s in computer science, Artificial Intelligence, Machine Learning, or a related field.

• 4+ years of experience in AI/ML, with a focus on recommendation systems, automated testing, or predictive maintenance.

• Proficiency in AI/ML frameworks.

• Strong programming skills in Python or C++.

• Experience with embedded systems and real-time environments (e.g., Linux, QNX, Android Auto).

• Familiarity with automotive communication protocols (CAN, LIN, Ethernet).

• Knowledge of test automation and predictive analytics techniques.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills and the ability to work effectively in a team environment.