We are seeking a skilled and experienced Machine Learning Engineer to design and implement solutions for extracting, processing, and storing information from large-scale document repositories. You will work with advanced NLP and machine learning techniques, integrate vector databases, and build scalable use cases like semantic search, question answering, and document clustering. Proficiency in Python and ML libraries (TensorFlow, PyTorch, Hugging Face, SpaCy, etc.).
• Experience with OCR tools (e.g., Tesseract, AWS Textract, Google Vision).
• Strong understanding of embeddings, vectorization, and search techniques.
• Familiarity with vector databases like Pinecone, Weaviate, Milvus, or FAISS.
• Expertise in APIs, REST, and cloud platforms (AWS, Azure, GCP).
• Knowledge of distributed systems and workflow automation tools.