We're looking for an experienced Python developer with a specialization in Data Science and Machine Learning. As a part of our team, you will work with challenging, sophisticated, and innovative projects where we solve interesting problems using cutting-edge tech stack and the world’s best practices.
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.
Must have skills and experience
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 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;
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.
Would be an advantage
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, revisable within a 6-month cycle;
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;
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;