We are looking for a Senior ML Engineer to to join design teams.
We solve web and mobile applications for clients from many sectors, including banking, e-commerce, fintech, and automotive.
Responsibilities:
- Design, implement, and maintain data pipelines to support production ML workflows
- Develop reliable and efficient Python code for data processing using NumPy and pandas
- Build and deploy machine learning models, integrating them into scalable production pipelines
- Write and manage Docker configurations to support application containerization and CI/CD processes
- Work with AWS S3, Azure Data Lake, and Databricks Unity Catalog for efficient data ingestion and retrieval
- Partner with Data Scientists to operationalize ML models in live environments
- Follow SOC 2-compliant SDLC practices, using tools like Git and Jira
- Monitor system performance, troubleshoot issues, and ensure clean, maintainable code
Requirements:
- 5+ years of software development experience, with a strong focus on Python
- Expert-level proficiency in Python, with in-depth knowledge of NumPy and pandas, including their performance nuances
- Demonstrated success in deploying and maintaining ML models in production environments
- Solid experience in Docker for containerizing applications
- Familiarity with CI/CD practices and tools
- Working knowledge of Microsoft Azure, especially Blob Storage
- Experience using Git for version control and implementing automated testing workflows
- Comfortable using Jupyter Notebooks for data exploration and ML prototyping
- Strong problem-solving and analytical skills, capable of translating business logic into maintainable code
- English proficiency at Upper-Intermediate (B2+) or higher
Nice to have:
- Familiarity with other programming languages (e.g., C++, JavaScript, or else)
- Experience with AWS or GCP
Offer:
- Salary: 21 840 – 30 240 net/b2b
- Contribution to the creation of an innovative product used by customers
- Ability to work in a cutting-edge field with the latest technology
- A stable job full of new challenges, and ongoing professional development
- Attractive remuneration adequate to your qualifications and professional experience
- Benefits package, including private health care, fitness passes