At Konecranes, we believe that a good customer experience is only possible because of the people behind the Konecranes name. Everything we do, we do with passion and perseverance. We believe that diversity drives business success and is the foundation of our growth. We welcome backgrounds and skills from all walks of life that enrich our community and encourage an environment in which we can ALL be ourselves. This is why Konecranes is a unique employer.
Context
The Data Science Lab of Konecranes was created in September 2019. This centralized team of 15 members gathers Data scientists, Data analysts and Machine Learning experts that harvest value from Konecranes data. Our target: build AI and machine learning solutions for all Konecranes business areas.
Konecranes will permit you to integrate into a worldwide group, see from the inside what happens in industries, and play a vital role in Konecranes Data Science transformation by industrializing Machine Learning models developed by our Data scientists.
Job description
Today, the Data Science Lab team is looking for an enthusiastic and curious Data Scientist - GenAI to complete its current roster. Our candidate will be a team player with previous experience in Generative AI (GenAI) field. By joining Konecranes you will belong to a small team focused on providing strategic GenAI solutions for the company. The results of your work will be visible at the company’s scale and you will contribute actively to the improvement of Konecranes employees productivity/efficiency.
We cocreate our solutions and work closely with business. We constantly explore new technologies and implement them. As a consequence, we are looking for a person eager to grow, to learn and to work on a cutting edge technology.
Main missions:
Competencies and skills:
Master’s degree in computer science, information systems or Machine Learning engineering related fields,
At least a previous significative experience as a Machine Learning Engineer or AI Developer, particularly in the generative AI domain,
Good understanding of machine learning notions such as neural networks, NLP, classification, regression, clustering, random forests, etc;
Strong understanding of generative AI concepts such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), embeddings...
Proficient in Python, machine learning, and prompt engineering skills,
Comfortable with containerization and orchestration tools such as Docker and Kubernetes.
Git knowledge,
Familiar with DevOps concepts,
Experience with a major cloud provider (Azure, AWS, GCP),
Fluent in English (mandatory), French would be appreciated,
Curious about data science and AI, with a keen interest in generative AI advancements,
Comfortable with working using the agile methodology (Scrum),
Team player, open to continuous improvement, proactive.
If you think you match, even partially, to this description, please contact us!
Why joining us?
We support your personal and professional development through many perks
· Career path
· Health insurance
· Lunch vouchers
· Remote work (From France / Lyon)
· Flexible schedules
· Works council advantages
You will join in an international Data Science team, which mission is to fuel Konecranes business growth and profitability by data-driven solutions. You will be a key player in Konecranes’ data-driven transformation and have the opportunity to work on various business challenges and data science projects for the company. We value our team member’s professional development and knowledge sharing.
Konecranes is a global leader in material handling solutions, serving a wide range of customers and across multiple industries. We consistently set the industry standard, from everyday improvements to breakthrough breakthroughs at the most important times, because we know we can always find a safer, more productive and more sustainable way. That's why, with 16,000+ professionals in over 50 countries, Konecranes is trusted every day to lift, handle and move what the world needs.
Konecranes is committed to ensuring that all employees and applicants will be treated fairly in an environment free from any form of discrimination.