Job
Description
Our client is founded in 2002 with offices in the US, India, Europe, Canada, Singapore, Costa Rica, Brazil, and the UK they got national and international scope and reach, backed by decades of experience and deep domain expertise. They specialize in Products such as AI Governance/Data Privacy and Services such as Interactive (Product, Discovery, Research, User Journey, Prototyping), Talent, Cloud (Development, Transformation, SRE, Architecture), Engineering (Web, Mobile, Strategy), Enterprise (Salesforce, ServiceNow, SAP, Oracle, Microsoft, Workday), Training (Corporate Learning Design and Development), and building offshore cost-effective captive Global Capability Centers. Job Requirement: 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. Job Title : AI/ML Engineer Key Skills : Python, AI, ML, Azure Job Locations : Chennai Experience : 5 to 8 years Education Qualification : BE/B.Tech/Any other science disciplines Work Mode : Hybrid. Employment Type : Contract. Notice Period : Immediate - 15 Days Key Responsibilities: • Developed scalable product matching pipelines using CLIP, SBERT, MPNet, and FAISS for multi-modal (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, embedding, 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. Show more Show less
