Associate Lead - AI/ML Engineer ( Python, AL/ML) - GB04

Job Title: Associate Lead - AI/ML Engineer ( Python, AL/ML) - GB04 Company: Bajaj Finserv Job Category: Machine Learning Roles & Responsibilities: 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. • Work with engineers, product managers, and designers to deliver integrated search solutions. • Develop production\-grade ML systems for ranking, personalization, and recommendations. • 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 solutions. Work Location: Pune Division, Maharashtra, India Availability: Full time

* Strong AI Engineer / Machine Learning Engineer profiles. * Mandatory (Experience 1\) – Must have minimum 3\+ years of hands\-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions. * Mandatory (Experience 2\) – Must have strong hands\-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production\-grade ML applications. * Mandatory (Experience 3\) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit\-learn, or equivalent. * Mandatory (Experience 4\) – Must have hands\-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases. * Mandatory (Experience 5\) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models. * Mandatory (Experience 6\) – Must have hands\-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions. * Mandatory (Experience 7\) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems. * Mandatory (CTC) – The CTC breakup offered will be 75% fixed \+ 25% variable, as per company policy. * Mandatory (Age) \- Candidate's Age should be below 28 Years * Preferred (Experience 1\) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks. * Preferred (Experience 2\) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large\-scale data processing, or real\-time ML systems.. * Preferred (Experience 3\) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud\-native AI deployments, and scalable ML architecture. * Preferred (Company) – Candidates from AI\-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data\-driven technology companies * Mandatory ( Pedigree) \- B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered. Experience: 2 years · Work from office · 5 days a week · Notice period up to 30 days Benefits Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Feature Engineering, NLP Salary: Not disclosed