Python developer

• Develop RAG Systems and LLM-Powered Applications: Build advanced retrieval-augmented generation systems and applications using Large Language Models to innovate in various business domains.
• Craft ML Components for SaaS: Design and implement Machine Learning components tailored to specific needs in diverse SaaS businesses.

• Engage with Modern NLP Models: Utilize cutting-edge NLP models for complex problem-solving and system enhancements.
• Data Management: Handle data preparation and cleaning to ensure quality and efficiency for ML model development.

• Model Evaluation and API Development: Conduct thorough evaluations of ML models and develop APIs for their integration into various applications.

Python Proficiency: At least 2-4 years of professional experience in Python development, showcasing a strong grasp of Python syntax and its nuances.

Experience with Python Libraries and Frameworks:

• Proficient in using Python API frameworks such as FastAPI for web development;
• Familiarity with Large Language Models;
• Data Handling and Analysis Skills: Knowledge of data structures, algorithms, and system design. Ability to manipulate and analyze data sets;
• Proficient in Git and Docker;
• Experience with relational databases (e.g. PostgreSQL) and an understanding of SQL.

• Familiarity with scientific and data libraries like NumPy and Pandas;
• Familiarity with TensorFlow and/or PyTorch for machine learning and deep learning projects;
• Familiarity with natural language processing libraries such as SpaCy, NLTK, and Hugging Face Transformers;
• English language knowledge - full working proficiency;
• Education in computer science or similar field.

Python, FastAPI(or other frameworks), NumPy and Pandas, TensorFlow and/or PyTorch, libraries such as SpaCy, NLTK, Hugging Face Transformers, familiarity with Large Language Models, Git and Docker, PostgreSQL, understanding of SQL.

• Decent salary, with an opportunity for growth;
• Fully remote work from anywhere you want;
• 40-hr work week with a flexible schedule;
• Slack & GSuite communication;
• Paid courses at popular education platforms at the company's expense;
• Bureaucracy-free processes;
• Flexible day-offs, upon request;
• Flexible paid vacation;
• A wide range of interesting projects where you'll be able to get your hands on cutting-edge things;
• Friendly team with a warm internal climate.