Machine Learning Engineer

The ideal candidate possesses 4-7 years of experience in machine learning or AI engineering, with a proven track record in RAG, vector search, and LLM fine-tuning. Deep expertise with vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search is required, along with familiarity with HuggingFace and OpenAI fine-tuning APIs, and strong understanding of chunking strategies for optimizing retrieval. Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, Azure) are essential. A solid understanding of token management, evaluation tuning, and cost optimization for large-scale AI deployments is also necessary, coupled with strong problem-solving skills, a collaborative mindset, and the ability to communicate complex technical concepts.