Machine Learning Engineer

Introduction & Summary:

We are seeking an experienced professional for the role of Machine Learning Engineer / Data Scientist to join a team focused on data analysis and machine learning projects. This hands-on role concentrates on designing, building, implementing, and maintaining production-level ML solutions and data processing.

Main Responsibilities:

• Design and implementation of Machine Learning and Data Science solutions.

• Building and enhancing data processing workflows using Apache Spark.

• Preparing ML models and deploying them to production environments.

• Maintaining and evolving existing production solutions.

• Performance analysis and identifying bottlenecks.

• Optimizing processes for performance and cost efficiency.

• Working with large data sets and crafting SQL queries.

• Creating and integrating solutions through REST API.

• Working with containers and basic DevOps tasks.

• Collaborating with technical teams and participating in developing end-to-end solutions.

Key Requirements:

• Minimum of 5 years of commercial experience in Machine Learning / Data Science / ML Engineering.

• Practical experience in deploying and maintaining ML solutions in production.

• Very good proficiency in Python, especially with libraries such as:

  • pandas,

  • scipy,

  • matplotlib.

• Hands-on experience with Apache Spark.

• Strong experience in classic Machine Learning.

• Good knowledge of SQL and ability to write queries independently.

• Experience with Azure Synapse.

• Familiarity with basic DevOps tasks:

  • Docker,

  • Kubernetes,

  • setting up and managing containers independently,

  • performing basic administrative tasks.

• Understanding of REST API.

• Good understanding of machine learning concepts.

Nice to Have:

• Snowflake – not required.

• Hadoop.

• Linux environment administration.

• NumPy.

• Experience in areas such as:

  • process mining,

  • churn analysis,

  • fraud prevention,

  • NLP.

• Experience with Generative AI / LLM solutions.

• Infrastructure and cloud experience.

• Very good knowledge of Scala or Java

Other Details:

• Industry: banking

• Collaboration model: hybrid in Warsaw - once every 2 weeks in the office

• Project language: English

• Project duration: 12 months + possible extensions

• Starting collaboration: ASAP

• Contract type: B2B