Machine Learning Engineer

Project overview

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.

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.
• Docker,
• Kubernetes,
• setting up and managing containers independently,
• performing basic administrative tasks.
• Understanding of REST API.
• Good understanding of machine learning concepts.

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.

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

Project 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
• Start: flexible
• Duration: > 12 months
• Remote: hybrid
• Location: Warsaw, Poland, PL
• Languages: English, Polish