Data Scientist

Designing, developing, and deploying production-grade machine learning and deep learning models using Python, Azure ML, and Databricks.
Building and optimizing computer vision and image recognition solutions using OpenCV and related frameworks.
Working with LLMs, structured outputs, and LangChain to develop intelligent, data-driven applications.
Managing end-to-end ML workflows - from data preparation and model training to evaluation, deployment, and monitoring.
Collaborating with data engineers, architects, and business stakeholders to translate complex requirements into scalable ML solutions.
Managing code, experiments, and model versioning using Git and Databricks Asset Bundles.
Contributing to MLOps practices - ensuring models are reproducible, maintainable, and production-ready.
Staying up to date with emerging research and technologies in AI, ML, and computer vision.

3+ years of commercial experience as a Data Scientist.
Strong proficiency in Python and hands-on experience with machine learning and deep learning frameworks.
Solid understanding of neural network architectures and model training best practices.
Practical experience with computer vision techniques - image classification, object detection, or image recognition.
Familiarity with Azure ML, Databricks, or similar cloud-based ML platforms.
Experience with LLMs, LangChain, or structured output techniques.
Hands-on knowledge of OpenCV and image processing pipelines.
Comfortable with Git and collaborative development workflows.
Strong problem-solving skills with the ability to work independently on technically challenging tasks.
Fluent English communication, able to collaborate effectively across international teams.

Hands-on experience with Databricks Asset Bundles and MLOps workflows.
Experience delivering end-to-end computer vision or image recognition projects in a commercial setting.
Familiarity with Azure DevOps or CI/CD practices for ML pipelines.
Exposure to structured output engineering for production LLM applications.
Knowledge of model monitoring, drift detection, or A/B testing in production environments.

Benefits:
MyBenefit platform / Multisport
Enel‑Med private medical care
Professional Growth:
Annual 2,000 PLN development budget
Access to e‑learning platforms
Real opportunities to expand responsibility and lead initiatives - most of our Leads come from internal promotions
As the company continuously grows, you get real opportunities to expand your responsibilities, explore new areas, and even take ownership of your own initiatives.
Work Environment:
Long-term cooperation: UZ or B2B (we value stable, lasting relationships)
Remote-first, work from anywhere in the world (workation)
Flexible hours & strong focus on work-life balance
Collaboration with top engineers you can truly learn from
Flat structure - every voice counts, and you help shape the company
Culture & Integration:
Company-wide trips (including international ones)
Team integration budgets
Open communication and supportive, passionate teams

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