Middle AI/ML Engineer (Python, LLM, NLP/CV)
Actively Hiring
Full-time Posted 4 months ago
Responsibilities
- check_circle Integrate and work with LLMs (OpenAI, Anthropic, Mistral);
- check_circle Build RAG pipelines (chunking, embeddings, retrieval);
- check_circle Use LangChain / LlamaIndex;
- check_circle Develop Python backend services (FastAPI/Flask);
- check_circle Apply ML/DL models (Transformers, classical ML);
- check_circle Work on NLP tasks (classification, NER, summarization);
- check_circle Contribute to Computer Vision tasks when needed;
- check_circle Work with vector DBs and traditional databases;
- check_circle Deploy and maintain services (Docker, CI/CD, cloud).
Basic qualifications
- 2+ years of commercial experience with Python;
- Hands-on experience with LLMs and prompt engineering;
- Understanding of RAG, embeddings, token/context management;
- Experience with FastAPI/Flask, async, SQLAlchemy;
- Experience with ML/DL (PyTorch / TensorFlow / sklearn);
- Experience with NLP (Hugging Face, transformers);
- Experience with databases (SQL/NoSQL + vector DBs);
- Familiarity with Docker, CI/CD, cloud;
- Focus on code quality (testing, typing, linters);
- Upper-Intermediate English lever o higher.
Benefits
- check_circle Flexible working hours;
- check_circle 25 paid days off and 10 sick/medical leaves;
- check_circle Additional paid days off for personal events like marriage and childbirth;
- check_circle Maternity/Paternity leaves;
- check_circle Skills Evaluations and promotions are based on Corporate Matrix;
- check_circle Discount program;
- check_circle Self-development budget per year;
- check_circle Referral bonuses;
- check_circle Corporate events and gifts;
- check_circle Learning events and mentorship opportunities;
- check_circle Speaking Clubs;
- check_circle PE accounting and support.
Tags & Focus Areas
Ai Engineer Machine Learning Nlp Computer Vision Pytorch Tensorflow Generative Ai Ai