Machine Learning Engineer

1 day ago


Stockholm, Stockholm, Sweden Norla AB Full time
About Norla AB
Norla is a dynamic IT and management consulting company focused on delivering exceptional customer satisfaction. Guided by our principle of "Mind and Heart," we foster a multicultural work environment where employees thrive. We prioritize their growth and success, collaborating with top talent to support clients.

About the Role:
This position requires a seasoned Senior Data Scientist to join our client's team and contribute to building innovative data-driven solutions. As part of our cross-functional team, you will work on cutting-edge projects at the intersection of data science, machine learning, and AI.

Responsibilities:
  1. Lead the development of sophisticated machine learning models addressing complex business challenges.
  2. Design and implement end-to-end MLOps pipelines using Kedro, MLflow, and Prometheus to ensure scalable machine learning operations.
  3. Conduct A/B tests and experiment designs to evaluate and optimize business strategies.
  4. Collaborate with data engineering and product teams to create robust data pipelines and BI dashboards using SQL and Tableau.
  5. Leverage cloud platforms (AWS, GCP) to deploy and scale machine learning models.
  6. Analyze vast datasets from e-commerce and retail platforms to uncover valuable insights supporting informed decision-making.

Qualifications:
  • At least 5 years of hands-on experience in data science, machine learning, and deep learning.
  • Profound expertise in Python and popular machine learning libraries like Scikit-learn and PyTorch.
  • Familiarity with NLP and LLMs such as LangChain.
  • Able to design and implement efficient machine learning pipelines using Kedro and MLflow.
  • Thorough understanding of time series forecasting, A/B testing, and advanced statistical techniques.
  • Proficiency in SQL and experience working with BI tools like Tableau.
  • Familiarity with cloud platforms like AWS and GCP for data and model deployment.
  • Excellent analytical skills, particularly in solving complex business problems within e-commerce or retail contexts.


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