Must have

• AI

• ML

• Generative AI solutions

• LLMs

• AWS

• Azure

• OOP

• TDD

• Data pipelines

• lifecycle management

• MLOps

• English

Requirements description

• Master’s degree in Computer Science or a related technical discipline
• 7+ years of experience designing, developing, and deploying AI/ML solutions in production environments, including full system integration
• Proven success in delivering scalable Generative AI solutions, from prototyping to deployment and performance evaluation
• Expertise in Large Language Models (LLMs), including prompting techniques and optimizing inference processes
• 4+ years of hands-on experience with AI/ML workloads on public cloud platforms such as AWS or Azure, with strong understanding of key services for compute, orchestration, and deployment
• Advanced Python programming skills, including OOP, TDD, and clean coding principles
• Strong foundation in ML system architecture, covering areas such as data pipelines, lifecycle management, monitoring, and MLOps best practices
• Ability to engage across disciplines and lead technical discussions with data scientists, engineers, product owners, and operational teams

Offer description

Join a global, multi-disciplinary team harnessing the power of technology to shape the future of mobility. This is your opportunity to accelerate your career in the automotive sector by contributing to cutting-edge solutions that define the next generation of driving experiences.

• Design and engineer advanced audio systems and integrated tech platforms that enhance every journey
• Combine creativity, deep research, and a collaborative spirit with excellence in engineering and design
• Contribute to the evolution of in-vehicle infotainment, safety, energy efficiency, and user experience

About the Role

We are looking for a Principal AI Consultant with a solid track record in building and deploying AI-powered solutions. In this role, you’ll lead the development of machine learning systems that optimize engineering processes and boost operational effectiveness. Working within a dedicated AI team, you’ll collaborate with various departments to identify impactful challenges, craft scalable AI solutions, and embed them into enterprise platforms to achieve measurable business outcomes.

Your responsibilities

1. Partner with stakeholders across business, engineering, operations, and IT to define problems, gather requirements, and translate strategic goals into technical solutions
2. Lead cross-functional teams in delivering AI/ML projects aligned with key business metrics, while also contributing directly to technical development and system integration
3. Drive experimentation, validation, and refinement of solutions to ensure they are scalable, reliable, and deliver tangible improvements in performance and efficiency
4. Implement feedback loops and continuous tuning mechanisms to enhance deployed systems over time
5. Promote best practices in AI/ML development such as reproducibility, version control, model governance, and responsible AI principles
6. Stay current with the latest AI/ML research and apply innovations to address real-world technical and operational challenges

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