Data Scientist Artificial Intelligence (Gurugram) Company: Classic Solutions Job Location: India Employment Type: Full time Experience Required: 7 - 10 years Experience: 7 10 Years Required Skills: Mandatory: Python, Machine Learning, GCP, RAG, Lang Chain, Lang Graph, Agentic AI, NLP, Generative AI.

Additional Skills: NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Transformers, Sentence-Transformers, Llama Index, FAISS/Pinecone, OpenAI/Anthropic/Gemini APIs, OCR tools, SQL, and data structures and algorithms.

: Job Summary: We are looking for an experienced Data Scientist Artificial Intelligence with solid expertise in Python, Machine Learning, Generative AI, and Google Cloud Platform (GCP). The ideal candidate should have hands-on experience building RAG-based applications, LLM-powered solutions, and agentic AI workflows using Lang Chain and Lang Graph.

Key Responsibilities Design, develop, and optimize machine learning pipelines using Google Cloud Platform (GCP). Build and implement Retrieval-Augmented Generation (RAG) applications and LLM-powered solutions. Develop agentic AI workflows and intelligent AI agents using Lang Chain and Lang Graph. Design, train, evaluate, and deploy scalable machine learning models using Python and relevant ML frameworks.

Develop Natural Language

Processing (NLP) and Optical Character Recognition (OCR) solutions.

Integrate Large Language

Models using OpenAI, Anthropic, and Google Gemini APIs. Implement vector search and embedding-based retrieval using FAISS, Pinecone, or similar vector databases. Use MLflow for experiment tracking, model evaluation, and lifecycle management.

Apply

Python programming best practices, including OOP, design patterns, exception handling, decorators, iterators, generators, and type hints. Optimize AI/ML solutions for performance, scalability, reliability, and maintainability.

Mandatory Technical





Skills 1.

Python Programming

Strong fundamentals in Python, OOP concepts, functions, and modules. Iterators, generators, decorators, exception handling, type hints, and dataclasses. Data structures, algorithms, and design patterns. 2.

Machine Learning

NumPy, Pandas, Scikit-learn. XGBoost, LightGBM. PyTorch and TensorFlow. MLflow for experiment tracking and model lifecycle management.

- Generative AI & Agentic AI Retrieval-Augmented Generation (RAG). Lang Chain and Lang Graph. LLM integration using OpenAI, Anthropic, and Gemini APIs. AI agents and agentic workflow development. LlamaIndex and vector databases such as FAISS and Pinecone. 4.

Google Cloud

Platform (GCP) Hands-on experience developing and optimizing ML pipelines on GCP.

Experience deploying and managing AI/ML solutions in a cloud environment.

- NLP & OCR spaCy, NLTK, Transformers, Sentence-Transformers, and Gensim. PyTesseract and EasyOCR.

Required Experience 7 years of experience in Data Science, Artificial Intelligence, or Machine Learning. Strong hands-on expertise in Python, Machine Learning, and GCP. Practical experience developing RAG applications using Lang Chain and Lang Graph.

Experience implementing Agentic AI solutions and integrating LLM APIs.

Experience building, evaluating, and deploying production-ready AI/ML solutions.

Preferred Qualifications Experience developing scalable Generative AI applications. Knowledge of prompt engineering, embeddings, semantic search, and retrieval optimization.

Experience with model evaluation, monitoring, and performance optimization. Strong analytical, problem-solving, and communication skills.

Important: Candidates must have hands-on experience with RAG, Lang Chain, Lang Graph, and Agentic AI, along with strong Python, Machine Learning, and GCP expertise.

Compensation: 1,600,000.00 - 1,700,000.00 per year Work Location: In person .

Industry

IT Services & Consulting

📌 Data Scientist Artificial Intelligence (Gurugram) (India)
🏢 Classic Solutions
📍 India