About the role
We are looking for an AI/ML Engineer who will be responsible for integrating, configuring, and adapting pre-existing databases and artificial intelligence models into real business environments. Your core mission will be to translate algorithms into business language — enabling our teams and clients to fully leverage the potential of intelligent solutions.
Key Responsibilities
- Integrate pre-trained AI/ML models into production infrastructure;
- Configure and adapt custom models according to business goals and specific use cases;
- Work with structured and unstructured databases and prepare them for training/inference;
- Collaborate with business teams to define needs, expectations, and model applicability;
- Improve model accuracy and performance through fine-tuning and validation.
Requirements
- 2–5 years of experience in applied AI/ML engineering or model deployment;
- Proficiency in Python and at least one major AI/ML framework (TensorFlow, PyTorch, Hugging Face);
- Solid understanding of machine learning, regression/classification models, NLP or CV (depending on focus);
- Proven experience taking AI/ML models from a proof-of-concept to a production or pilot environment;
- Data engineering and ETL skills (pandas, SQL, data wrangling);
- Ability to communicate technical concepts to non-technical audiences;
- Collaborative mindset and strong communication skills.
Nice to Have
- Experience with AI model deployment (API, Docker, CI/CD);
- Familiarity with MLOps, monitoring, and lifecycle management;
- Prior experience with chatbots, automation, RAG architectures, or applied LLMs;
- BI tool experience (Power BI, Tableau, Metabase, etc.);
- Public contributions (GitHub, Kaggle, HF Hub) are a plus.
What We Offer
- Real AI/ML projects with measurable impact and purpose;
- Opportunity to shape internal processes and best practices;
- Cross-functional environment with legal, business, and finance teams;
- Competitive compensation and a growth-oriented culture;
- Freedom to experiment and innovate in a supportive team.
Only shortlisted candidates will be invited for an interview.