Machine Learning/Artificial Intelligence Engineer

Location : Chennai Hybrid Mode , Anywhere in South India ML/AI Engineer What you'll be doing : Machine Learning & AI Engineer specializing in semantic and image matching, entity resolution, and recommendation systems. Skilled in leveraging deep learning, NLP, and vector search technologies (CLIP, SBERT, FAISS) to build scalable and accurate product-matching solutions for e-commerce and B2B applications. Passionate about optimizing data-driven pricing strategies and enhancing customer experience through AI-powered solutions. Key Responsibilities : - Developed scalable product matching pipelines using CLIP, SBERT, MPNet, and FAISS for multimodal (text image) matching. - Implemented vector search & hybrid matching models combining deep learning and rule-based heuristics for high-accuracy matching. - Improved SKU normalization & deduplication for retail and B2B marketplaces, increasing match accuracy. - Designed a real-time product-matching API using Python, FastAPI for seamless integration across platforms. - Worked with PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers to fine-tune models on large-scale product datasets. - Collaborated with business and data teams to integrate AI-driven pricing insights into dynamic pricing models. Required Skills & Qualification : - Experience: 5 Years in Machine Learning, NLP, or Computer Vision. - Machine Learning: Strong knowledge of NLP, embeddings, similarity search, clustering. - Tech Stack: Python, PyTorch/TensorFlow, FAISS, SQL, NoSQL. - Search & Retrieval: Experience with vector databases (FAISS, Pinecone, Weaviate, Elasticsearch). - Cloud & Deployment: Azure/GCP, MLOps, API development (FastAPI, Flask). - E-Commerce & Pricing: Understanding of Product matching models, search and recommendation models. (ref:hirist.tech)

Location: chennai, IN

Posted Date: 5/10/2025