AI Engineer

Data Scientist / Ai Engineer

The Company

Cubic³ provides advanced software-defined vehicle solutions to over 200 countries around the world. Our powerfully smart connectivity enables leading automotive, agriculture, and transportation OEMs to deliver innovative new services and fully compliant in-vehicle experiences that customers desire, regardless of local market requirements.

We believe in leadership that supports empowerment and responsibility, while recognizing and developing leadership qualities across our team. Together we bring out the best in each other. So, whether you're interested in joining us as an individual contributor, manager, senior leader – or someone who aspires to growing into a leadership role – we look for people who are results focused, empathetic, visionary, empowering, and who 'champion' our cultures and values.

The Role

We are seeking a curious, innovative Data Scientist / AI Engineer to join our rapidly growing Data Science team. This team pioneers AI-driven solutions spanning advanced algorithms, generative AI, and autonomous AI agents. Your work will enhance internal efficiencies, elevate our product and service offerings, and unlock new monetizable AI-powered capabilities for our customers.

You will collaborate closely with Data Engineers, Product Managers, and Analytics teams to design, develop, and deploy state-of-the-art AI models and agentic systems that deliver measurable business impact. This is a unique opportunity to shape the future of connected intelligence in a fast-paced, collaborative environment.

Key Responsibilities

• Design, develop, and deploy AI solutions including advanced algorithms, generative AI models, and autonomous AI agents to solve complex business challenges and enhance customer experiences.
• Build scalable, reliable AI/ML pipelines and infrastructure in partnership with Data Engineering and Analytics teams.
• Automate end-to-end AI workflows: model training, evaluation, deployment, and continuous monitoring to ensure robustness and performance.
• Translate ambiguous, real-world problems into innovative AI-driven solutions leveraging the latest research and technologies.
• Stay at the forefront of AI advancements—experiment with emerging generative models, reinforcement learning, and agentic AI frameworks.
• Collaborate with product and business stakeholders to align AI capabilities with strategic goals and deliver actionable insights.
• Ensure all AI initiatives comply with data privacy, security, and governance standards.
• Mentor junior team members, fostering a culture of innovation, best practices, and continuous learning.
• Contribute to evolving our AI methodologies, tooling, and infrastructure to maintain a competitive edge.