Data Scientist / AIML Engineer / Gen AI Engineer

Job Title: Data Scientist / AIML Engineer / Gen AI Engineer Location: Gurugram, Haryana (On-site, 5 days a week) Experience: 3 – 4 Years Compensation: ₹15,00,000 – ₹25,00,000 LPA Employment Type: Full-TimeAbout the Role: We are a fast-growing, product-based technology firm seeking a highly skilled AI/ML professional to join our newly established AI division. You will be instrumental in designing, deploying, and maintaining production-grade AI applications, focusing on scalable Gen AI and Machine Learning systems.Key ResponsibilitiesDesign scalable, reliable AI systems with a focus on production readiness, maintainability, and performance. Create and maintain Retrieval-Augmented Generation (RAG) pipelines and AI agent frameworks. Design reliable LLM workflows using structured outputs, validation, retrieval, and business rules. Perform data analysis, model evaluation, root cause analysis, and performance optimization. Develop APIs and integrate AI solutions into existing products and platforms. Develop automated evaluation, validation, and testing strategies for AI applications. Collaborate with cross-functional teams and business stakeholders to define and deliver AI solutions. Must-Have Qualifications3–5 years of experience building AI/ML applications as an Individual Contributor. Full-time Bachelor's or Master’s degree in Computer Science, AI, ML, Data Science, or a related quantitative field (Distance education is not accepted). Strong proficiency in Python and robust software engineering fundamentals (clean code, modular design, debugging, and testing). Hands-on experience with RAG architectures and NLP concepts. Practical experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with API development and system integration. Good-to-Have SkillsExperience with Vector Databases (Pinecone, Weaviate, FAISS, ChromaDB). Knowledge of Cloud platforms (AWS, Azure, GCP) and deployment pipelines (Docker). Exposure to Fintech products, platforms, or domain-specific use cases. Skills: pipelines,artificial intelligence,azure,aiml,ml,learning,machine learning models,api,python,machine learning,weaviate,chromadb,gcp,platforms,faiss,aws,data science,pinecone