Job Description

Why NESS

We know that people are our greatest asset. Our staff's professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world's leading technological companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You'll gain knowledge by working alongside other highly skilled professionals that will help accelerate your career progression.

You'll also benefit from a range of advantages, including access to training and certifications, bonuses, aids, social activities, and attractive compensation.

Salary: from 2.500-3.000 EUR/month depending on seniority, skills and experience + benefits. The final offer for the selected candidate will reflect the candidate´s comprehensive assessment, skills, and past work experience.

• Reinvent how insights are shared and consumed by our customers.
• High-level orchestration across data ecosystems to eliminate silos.
• Hyper-personalization and natural interaction for fleet operations.
• Seamless "what if" scenario exploration and data-driven decision making for fleet managers.
• Design and build AI components that enhance predictive models for accident risk, energy consumption, tire wear, and other key indicators.
• Rapidly prototype, test, and iterate on new AI, Machine Learning, and GenAI solutions.
• Work across the full lifecycle—from understanding the problem, preparing data, building prototypes, validating results, and deploying working solutions.
• Contribute to long-term innovation by exploring emerging AI technologies, bringing new ideas, and experimenting with modern frameworks and approaches.
• Collaborate closely with a small international team to solve open-ended business challenges and deliver practical AI solutions.
• Experiment with technologies such as LangChain, LangGraph, MCP, Agentic AI, and other modern AI frameworks where appropriate.
• Evaluate different approaches and select solutions based on business value, performance, and scalability.
• Contribute across the full lifecycle—from prototype (POC) to industrialization and market launch.
• Strong analytical and problem-solving mindset with the ability to work independently and take ownership.
• Excellent communication skills for collaborating with both technical and non-technical stakeholders.
• Curiosity, adaptability, and enthusiasm for learning new technologies in a fast-paced environment.

• Data Scientist / AI Engineer / Machine Learning Engineer
• Around 2–5 years of experience in AI, Machine Learning, or Data Science (seniority is flexible—we're more interested in mindset, hands-on experience, and motivation).
• Experience with Python and data processing (PySpark and SQL are an advantage).
• Hands-on experience with Machine Learning, Generative AI, LLMs, or Agentic AI through commercial or personal projects.
• Understanding of modern AI technologies and willingness to continuously learn and experiment.
• Ability to take ownership of tasks and deliver end-to-end solutions.
• Detail-oriented with a practical, "getting things done" mindset.
• Comfortable working in a fast-moving, startup-like environment with evolving priorities.
• Strong analytical and critical thinking skills.
• English level: B2 minimum.