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Company Description
Digica are AI and Software Experts delivering tomorrow's AI-powered technology today. We develop intelligent software across AI domains, focusing on Deep Learning in Computer Vision, object recognition, AI on the edge, and embedded AI systems.
Keywords: Machine Learning, Computer Vision, Artificial Intelligence, Data Science, Robotics.
We work with global companies and innovative start-ups in industries such as Defence, Medical, Agricultural and Telecoms. At Digica, we transform cutting-edge science into practical technology for a better tomorrow.
Job Description
We’re looking for a passionate Data Scientist who enjoys solving real business problems with data and machine learning. You’ll take part in designing and delivering ML solutions end-to-end — from exploration and experimentation to deployment. If you like working with diverse data, collaborating with others, and seeing your models used in production, we’d love to meet you!
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Qualifications
Your responsibilities will include:
- Designing and developing ML/AI models (predictive, classification, recommendation, LLM-based),
- Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.),
- Performing data cleaning, feature engineering, and model validation,
- Collaborating with clients and internal teams to translate analytical results into actionable insights,
Requirements
We don’t expect you to know everything — but we’re looking for someone who has:
- 3–6 years of experience in data analysis, machine learning, or statistical modeling,
- Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch, PyTorch or TensorFlow),
- Practical experience with ML model deployment (on cloud or on-premise),
- Good understanding of statistics and data preparation,
- Working knowledge of SQL and version control tools (Git),
- Fluent English – for international communication and collaboration.
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Additional Information
Nice to have:
- Experience with Computer Vision, LLMs, or Time Series,
- Familiarity with tools like Docker, MLflow, Airflow, AWS/GCP/Azure,
- Background in research or R&D,
- Experience working in cross-functional or international teams.
Soft Skills:
- Curiosity and problem-solving mindset,
- Clear communication and teamwork,
- Proactive attitude and sense of ownership,
- Ability to explain technical concepts to non-technical audiences.
What We Offer
- Exciting projects in AI and ML with real-world impact,
- Collaboration with international clients (US and Europe),
- Flexible work setup (hybrid / partial remote),
- Choice of employment type (B2B or Employment Contract),
- Supportive, growth-oriented culture that values innovation,
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