AI/ML Engineer

We are looking for a Machine Learning Engineer to help us deploy, configure, and optimize Mistral 7B, integrate it into our services, and implement Retrieval-Augmented Generation (RAG) for database interactions.

Key Responsibilities:

• Configure and optimize Mistral 7B for business tasks (fine-tuning, quantization, performance optimization).
• Assess required computational resources, select the optimal infrastructure for model deployment (on-premise or cloud), and analyze cost efficiency.
• Implement RAG to integrate models with vector databases.
• Orchestrate interactions between multiple ML services (e.g., one model generates tags, and another validates task descriptions).
• Develop a service for interacting with the model (API for predictions, model management, integration with our application).
• Optimize model performance for real-world usage.

Requirements:

• Experience with LLM models (Mistral 7B, GPT-3/4, LLaMA, Claude, Falcon, Bloom, etc.).
• Understanding of Retrieval-Augmented Generation (RAG) and model integration with databases.
• Hands-on experience with fine-tuning and dataset preparation/annotation.
• Experience with vector databases (Pinecone, Weaviate, FAISS).
• Strong proficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face, and LangChain.
• Experience in evaluating and optimizing infrastructure for AI deployments.
• Experience in developing APIs for integrating AI models into business processes.

We offer:

• Regular result-based salary reviews;
• Comfortable working hours (10-19 Kyiv time zone);
• Bonus system;
• Established product-focused environment;
• Range of tasks, from quick and simple to challenging investigation to run;
• Cheerful & dynamic environment;
• Friendly and open-minded team;
• Virtual workspace with perspective to move into one of the offices;
• Mentorship;
• Attractive social package (unlimited and paid sick days, fully paid vacation, birthday day off, etc;)
• Sport and English classes discounts.

Hiring steps:

• 1st interview with the Recruiter;
• Technical interview with the Squad Lead;
• Job offer.