Good morning everyone! ☕ 📍 Almaty

😁 We are looking for an ML engineer ready to work with real AI products in a production environment. You will participate in the development of classic ML models, CV solutions, RAG systems, LLM agents, and audio/speech applications, gradually increasing autonomy and complexity of tasks. The grade - Junior or Middle - will be determined based on the interview results.

💯 Responsibilities:

• Development and support of ML models: scoring, fraud detection, recommendations
• Participation in the development of CV, RAG, and audio applications
• Implementation of REST API for AI services on FastAPI
• Writing Airflow DAGs, working with data: preparation, transformation, validation
• Monitoring model quality metrics, participating in deviation analysis
• Working with vector databases (Milvus) when building RAG pipelines

💥 Requirements:

• Proficient in Python
• Basic understanding of ML algorithms and quality metrics
• Familiarity with Docker and Git at a practical level
• Basic SQL and data handling skills
• Desire to understand AI products and grow across the stack
• 1+ year of experience in developing ML/AI solutions
• Practical experience developing services with FastAPI
• Experience working with classic ML libraries (sklearn, XGBoost, CatBoost)
• Basic understanding of RAG principles and working with vector stores (Milvus)
• Experience writing Airflow DAGs or similar orchestrators
• Foundation in at least one of the four areas (classic ML / CV / RAG and LLM / audio-speech) with a desire to master the others

💪 Will be a plus:

• Familiarity with LLM APIs and prompt engineering basics
• Experience with CV libraries (OpenCV, torchvision, ultralytics)
• Familiarity with audio/speech models (Whisper, Piper) and serving (Triton)
• Familiarity with vector databases (Milvus)
• Embeddings: sentence-transformers, fastembed
• LangChain
• Queues: Celery, Redis, Kafka
• Streamlit

📩 You can DM me or email: recruiter contact I would appreciate reposts 🙌