Associate Lead AI/ML Engineer - NLP/Deep Learning in Pune, भारत

Job Description :Roles & Responsibilities :- Contribute to the development and optimization of enterprise-wide search systems and models.- Design and implement algorithms to improve indexing, query relevance, and search accuracy.- Support taxonomy, ontology, and metadata model creation for better search outcomes.- Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.- Conduct analysis of user behavior and system metrics to refine search performance.- Work with engineers, product managers, and designers to deliver integrated search solutions.- Develop production-grade ML systems for ranking, personalization, and recommendations.- Participate in proof-of-concept initiatives with internal and external partners.- Follow best practices in software engineering including CI/CD, testing, and monitoring.- Keep abreast of emerging developments in AI/ML to apply them in practical https://jobeax.com/link/LCvfZXfcxUfoxaWs Candidate :Mandatory Experience :- 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.- Strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.- Experience with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.- Hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.- Experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.- Hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.- Experience working with Git, CI/CD practices, production environments, and scalable AI/ML https://jobeax.com/link/tlR41OcrwRbSSvtb Experience :- Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.- Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems.- Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML https://jobeax.com/link/M8XGjg5cEW4g3zKA :- Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.- https://jobeax.com/link/2DENLGgQM7whDhaE / https://jobeax.com/link/s1WvHFV9ITSwCkyS from Tier 1 Colleges (IIT's, NIT's, BITS) are considered. (ref:hirist.tech)