AI Engineer

Your Responsibilities:

•  Design and implement ML and Deep Learning models
•  Build inference services using Python (FastAPI or similar)
•  Work on RAG, LLMs, embeddings, and text-based intelligent services
•  Evaluate models, improve performance, and prepare them for production
•  Perform data analysis, cleaning, feature extraction, and dataset preparation
•  Collaborate with backend engineers to integrate models into services
•  Assist in designing simple training and serving pipelines

Required Skills:

• Python and ML/DL libraries (PyTorch / TensorFlow / Scikit-learn)
•  Hands-on experience building or fine-tuning ML models
•  Familiarity with LLMs, embeddings, and RAG solutions in real applications
•  Ability to design simple inference services using FastAPI
•  SQL/NoSQL at a project-ready level
•  Basic understanding of the model lifecycle (training → testing → inference)
•  Experience working with datasets, evaluation, and metrics
• Familiarity with Vector DBs (Qdrant / Milvus / Weaviate)   

Nice-to-Have (Bonus Skills):