Senior Machine Learning Engineer

3 days ago


Stockholm, Stockholm, Sweden Norla AB Full time

About Norla:

We are a global IT and management consulting firm focused on delivering high-quality services that meet the evolving needs of our clients. Our multicultural environment is guided by the principle of 'Mind and Heart,' fostering a culture of innovation, creativity, and collaboration. We work with major actors to identify top talent who can drive business growth.

About the role:

We are seeking an experienced Senior Data Scientist to join our client's team and help them develop innovative data-driven solutions that drive business transformation and enhance customer value. This role involves collaborating with cross-functional teams to design and implement cutting-edge data science, machine learning, and AI solutions.

Key Responsibilities:

  • Lead the development of advanced machine learning, deep learning, and statistical models to address complex business challenges.
  • Design, implement, and manage end-to-end MLOps pipelines using Kedro, MLflow, and Prometheus for scalable machine learning operations.
  • Develop A/B tests and other experiment designs to measure and optimize business strategies.
  • Collaborate with data engineering and product teams to design and implement robust data pipelines and BI dashboards using SQL and Tableau.
  • Deploy machine learning models using cloud platforms (AWS, GCP).
  • Analyze large datasets from e-commerce and retail platforms to extract insights and inform business decisions.

Required Skills & Experience:

  • Minimum 5 years of hands-on experience in data science, machine learning, and deep learning.
  • Strong expertise in Python and machine learning libraries like Scikit-learn and PyTorch.
  • Experience in working with Natural Language Processing (NLP) and Large Language Models (LLMs) such as LangChain.
  • Proficient in building machine learning pipelines and deploying models using Kedro and MLflow.
  • Solid understanding of time series forecasting, A/B testing, and advanced statistical techniques.
  • Proficient in SQL and experience working with BI tools like Tableau.
  • Experience in working with cloud platforms like AWS and GCP for data and model deployment.
  • Strong analytical skills with experience in solving complex business problems, preferably within the e-commerce or retail sectors.

Preferred Qualifications:

  • Prior experience in e-commerce or retail industries is highly desirable.


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