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AI Engineer

Cubic³ provides advanced software-defined vehicle solutions to automotive, agriculture, and transportation OEMs, delivering innovative services and compliant in-vehicle experiences across 200+ countries.
Machine Learning
Mid-Level Software Engineer
Hybrid
3+ years of experience
AI · Automotive

Job Description

Cubic³ is at the forefront of providing advanced software-defined vehicle solutions globally, serving over 200 countries. They're seeking a Data Scientist/AI Engineer to join their growing Data Science team, focusing on pioneering AI-driven solutions including advanced algorithms, generative AI, and autonomous AI agents.

The role offers a unique opportunity to shape the future of connected intelligence in the automotive and transportation sector. You'll be working on enhancing internal efficiencies, elevating product offerings, and developing new AI-powered capabilities for customers. The position requires collaboration with Data Engineers, Product Managers, and Analytics teams to design, develop, and deploy state-of-the-art AI models and agentic systems.

The ideal candidate should have 3+ years of experience in AI/ML, strong programming skills in Python, and experience with cloud platforms and MLOps practices. They value problem-solving abilities, excellent communication skills, and a passion for innovation, especially in generative and agentic AI.

The company offers an attractive benefits package including health insurance, ESOP, and 25+ days of annual leave. They promote a culture of continuous learning and development, with regular team activities and flexible work arrangements. Cubic³ is committed to fostering a diverse and inclusive workplace, making it an excellent opportunity for professionals looking to make an impact in the AI and automotive technology space.

Last updated 5 days ago

Responsibilities For AI Engineer

  • Design, develop, and deploy AI solutions including advanced algorithms, generative AI models, and autonomous AI agents
  • Build scalable, reliable AI/ML pipelines and infrastructure
  • Automate end-to-end AI workflows: model training, evaluation, deployment, and monitoring
  • Translate ambiguous problems into innovative AI-driven solutions
  • Stay at the forefront of AI advancements
  • Collaborate with product and business stakeholders
  • Ensure AI initiatives comply with data privacy, security, and governance standards
  • Mentor junior team members
  • Contribute to evolving AI methodologies, tooling, and infrastructure

Requirements For AI Engineer

Python
Kubernetes
  • Bachelor's degree in computer science, Data Science, Mathematics, Statistics, or related field
  • 3+ years' experience in AI, data science, or machine learning engineering roles
  • Strong programming skills in Python and experience with AI/ML frameworks
  • Hands-on experience with cloud platforms (Azure, AWS, Snowflake)
  • Proficiency in SQL and working with large-scale data warehouses
  • Familiarity with MLOps practices
  • Demonstrated problem-solving skills
  • Excellent communication skills
  • Experience with generative AI models and AI agents
  • Knowledge of containerization and orchestration tools
  • Background in IoT, automotive, or related industries preferred
  • Passion for innovation and continuous learning in AI

Benefits For AI Engineer

Medical Insurance
Equity
  • 25 days annual leave + 2 company days
  • Health Insurance
  • Pension Contribution
  • ESOP
  • Tax saver scheme
  • Bike to work scheme
  • Sports and social activities
  • Great annual office outings
  • Bits & Bobs days (Half day every quarter)
  • Learning and Development Opportunities

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