AI/ML Data Scientist - Hybrid, Global Impact

DIGICA; Łódź; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Employment type: B2B or Employment

Job summary

Digica is an AI/ML focused company delivering innovative solutions to global clients in defense, healthcare, and entertainment. The role involves designing and deploying CV/ML/AI models, selecting and optimizing algorithms, and integrating models into production environments.

You will perform data cleaning, feature engineering, and model validation, collaborating with clients and internal teams to turn analytics into actionable results. English fluency is required for international collaboration.

Qualifications

• 3+ years of experience in data analysis, CV/ML/AI
• Experience deploying ML models on cloud or on-premise
• Strong Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow)
• Familiarity with Windows or Linux development environments
• Solid understanding of statistics and data prep
• Working knowledge of SQL and Git for version control
• Fluent English for international collaboration

Responsibilities

• Design and develop CV/ML/AI models (predictive, classification, recommendation, LLM-based)
• Select and optimize algorithms (regression, tree-based, neural networks)
• Integrate models into production environments
• Data cleaning, feature engineering, and model validation
• Collaborate with clients and internal teams to translate analyses into insights
• Contribute to cross-functional projects across US and Europe

Skills

ML/AI modelling

Python programming

Statistics

SQL

English communication

Tools

Docker

MLflow

Airflow

AWS/GCP/Azure

Job description

Digica is an AI/ML focused company delivering innovative solutions to global clients in defense, healthcare, and entertainment. The role involves designing and deploying CV/ML/AI models, selecting and optimizing algorithms, and integrating models into production environments.

You will perform data cleaning, feature engineering, and model validation, collaborating with clients and internal teams to turn analytics into actionable results. English fluency is required for international collaboration.