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-Time
About 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 Responsibilities

• Design 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 Qualifications

• 3–5 years of experience building AI/ML applications as an Individual Contributor.
• Full-time Bachelors or Masters degree in Computer Science, AI, ML, Data Science, or a related quantitative field (Distance education is not accepted).

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• 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 Skills

• Experience 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