Senior AI/ML Engineer
We are looking for a Senior AI/ML Engineer to join the AI Center of Excellence (CoE) in ROCKWOOL in Poznan. In this job, you can expect to travel about 10% of the time in support of global projects.
Ready to help build a better future for generations to come?
In an ever-changing, fast paced world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions.
Your future team
We have recently started a journey towards using AI at scale, general digitalization, automation and better use of data – and this is where your abilities come into play. You will join the AI CoE team and work at the forefront of AI and machine learning. This role reports to the Team Lead of the AI CoE based in Poland with most of the team in Poznan office. You will work closely with teams from Denmark, Poland and Malaysia and be an integral part of a larger global Data & AI team.
What you will be doing
We are seeking a talented and experienced Senior AI/ML Engineer with Machine Learning, Generative AI and software development experience. In this role, you will work closely with Data Scientists, ML engineers, Data Engineers and cross-functional stakeholders to design, develop and deploy custom AI products and analytics solutions at ROCKWOOL. You will be part of a growing team that focuses on developing custom AI products & LLM solutions. The role requires a blend of technical and communication skills. More concretely, you will have the following responsibilities:
Develop and deploy AI products & applications
- Use various modern technologies, tools and packages such Azure OpenAI, LLMs, vector databases, Langchain etc. to engineer AI products at scale
- Maintain custom GenAI products such as in house developed LLM solution.
- Develop and maintain various LLM APIs and backend functionality that supports custom AI products
- Use cloud technologies such as Azure, OpenShift, VertexAI, etc. to support the ML Engineer by contributing to the development of our core AI platform
- Automate infrastructure provisioning (IaC) and CI/CD processes for custom AI workloads
Follow Machine Learning processes and Best Practices
- Develop and maintain best practices and standards for carrying out AI based projects
- Collaboration with the team in identifying areas for improvement and recommend strategies to enhance the data science function in our organization
- Ensure continuous learning and development
- Stay up to date with the latest developments in AI to ensure that our practices are cutting-edge
Who we are
We are the world leader in stone wool solutions. Founded in 1937 in Denmark, we transform volcanic rock into safe, sustainable products that help people and communities thrive. We are a global company with more than 12,000 employees, located in 40+ countries with 51 manufacturing facilities, all focused on one common purpose – to release the natural power of stone to enrich modern living.
Sustainability is central to our business strategy. ROCKWOOL was one of the first companies to commit to actively contributing to the United Nations Sustainable Development Goals (SDG’s) framework and are actively committed to 11 SDGs, including SDG 14, Life Below Water. Through our partnership with the One Ocean Foundation and in connection with our sponsorship of the Denmark SailGP team, we will help raise awareness around ocean health challenges in an effort to accelerate solutions to protect it.
Diverse and Inclusive Culture
We want all our people to feel valued, respected, included and heard. We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promote diversity, and work against all forms of discrimination among ROCKWOOL employees.
ROCKWOOL are keen to nurture employees in developing their talents and move forward in their careers. You can expect to be supported in your professional ambitions through our programs, to help you reach your professional goals.
What you bring
- A master's degree in Computer Science, Data Science, Mathematics, Statistics, or related field
- 5+ years of experience in AI and Data Science and it would be great if you have experience within manufacturing
- 2+ years of experience of working with LLMs, transformer models, vector databases, RAG frameworks, Langchain, etc.
- Excellent skills within Python, SQL, and cloud computing technologies
- Experience with Python packages such as FastAPI, SQLAlchemy and Pydantic
- Hands on experience in deploying models and algorithms into production systems is desirable
- Experience with ML Ops tools and frameworks such as Kubeflow, MLflow, e.g. is desirable
- Experience with Kubernetes and Docker is desirable
- Professional proficiencyin the English language
As a person you are curious and solution oriented. You can easily communicate complex content across functions and to non-technical colleagues. Furthermore, you have a structured way of working forward and take pride in delivering high quality output.
