Senior Machine Learning Engineer (GenAI & NLP)

About the job

As a (Senior) Machine Learning Engineer, you will play a crucial role in designing, implementing, and maintaining robust data pipelines and solutions, that support our GenAI/NLP infrastructure. You get to use your great experience and your deep understanding of Machine Learning & Operational Data knowledge as well as statistical techniques when you withdraw insights from data and ensure data quality and reliability.

You will be part of our Development Department in Karnov Group Nordic, consisting of 6 dedicated agile development teams. Projects are undertaken by small agile teams in close collaboration with the Products Department securing that our customers have relevant and updated content at hand 24/7. We have a “you-built-it-you-run-it mindset”.

Karnov Group values diversity; currently we are more than 14 nationalities in our team, and we would be happy to have even more countries represented.

Besides the above you:

• Implement GenAI and NLP approaches by working closely with Data Scientist(s)
• Collaborate with cross-functional teams to understand data requirements and implement solutions accordingly.
• Perform data exploratory tasks to extract actionable insights from large datasets.
• Work closely with stakeholders to understand business objectives and translate them into technical requirements.
• Provide technical leadership and mentorship to junior team members.
  
  

About you

You succeed in the role if you are an entrepreneurial spirit who has the technical vision as well as the capability to roll up your sleeves and translate needs into practical technical solutions. You are passionate and ambitious, you take ownership, and you thrive when driving an agenda collaboratively. You seek to constantly acquire new knowledge, to stay up to date within your field, and to challenge yourself. You use your experience building pipelines for preprocessing, and from deployment and monitoring of Machine Learning models (preferably GenAI and NLP). You get to put your excellent problem-solving and analytical skills into play when communicating and collaborating with ML engineers, Data Scientists and colleagues in the entire department.

Expected competencies and experiences:

• Your Bachelor's or Master's degree in Computer Science, Data Science, or similar experience.
• Your proven experience building pipelines for preprocessing, deployment and monitoring of Machine Learning models (preferably GenAI and NLP).
• Your experience with containerization (Docker) and orchestration tools (Flyte, Kubernetes) as well as modern cloud architectures to build these pipelines (GCP)
• Your excellent Python development skills and Python/ML ecosystem tools (Pytorch, Pandas, Sklearn, Numpy).
• Your proficience in a Scandinavian language.

About us

Now is the perfect time to become part of Karnov Group! In Karnov Group, you will experience a company in rapid development, where the business is being rethought and digitized, and where we are continuously undergoing a transformation from a traditional publishing house to a modern information technology company. Karnov Group is a leading provider of critical information in the fields of law, tax, auditing, accounting, as well as environmental, health, and safety matters in Denmark, Sweden, Norway, France, Spain, and Portugal. Our solutions are based on reliable knowledge authored by experts and delivered through technology.

Psychological Safety is a cornerstone that supports our cultural values. In our daily operations, we act in accordance with and live up to these values and “We Walk the Talk." You become part of an attractive work culture and a dynamic environment in an ambitious company with talented colleagues who support and respect each other. We believe that close collaboration across the entire company contributes to serving our customers in the best possible way.

Finally, you will join a competent team and a centrally located workplace in Copenhagen — near Nørreport Station. Partly remote work is part of our work-life-balance.

We look forward to hearing from you!

If you have any questions regarding the role, feel free to contact Peter Riise at [email protected] or phone +45 26214817. Please apply as soon as possible, as we continuously invite relevant candidates for interviews. We hope to hear from you no later than February 13th, 2024.