Data Scientist

Experience : 3 - 5 Years

Job Location : Ahmedabad Office

Notice Period : Immediate to 30 days only

About the Role

We are seeking a passionate and forward-thinking AI Developer specializing in Generative AI and Large Language Models (LLMs) to join our growing AI innovation team. The ideal candidate should have a strong foundation in machine learning, natural language processing (NLP), and modern LLM-based architectures, with hands-on experience in research, fine-tuning, and deploying AI models into production.

Key Responsibilities

- LLM Development & Fine-tuning: Develop, fine-tune, and optimize Large Language Models (LLMs) for specific business use cases, leveraging open-source frameworks and APIs.

- Generative AI Solutions: Build and integrate Generative AI applications including chatbots, content generation, summarization, and agent-based automation systems.

- RAG Implementation: Design and deploy Retrieval-Augmented Generation (RAG) pipelines integrating LLMs with vector databases (e.g., ChromaDB, Pinecone, FAISS).

- Computer Vision Integration: Apply Computer Vision techniques for document and image understanding use cases such as OCR, document parsing, and multimodal AI.

- Scalable ML Deployment: Design, develop, and deploy ML services and APIs using frameworks like FastAPI, ensuring scalability and performance in production environments.

- Research & Innovation: Support R&D initiatives in AI, Generative AI, and Multimodal AI exploring emerging frameworks, evaluating new techniques, and identifying business-relevant opportunities.

- Collaboration: Work closely with cross-functional teams (backend, frontend, and product) to seamlessly integrate AI components into real-world applications.

Required Skills & Qualifications

- Education: B.Tech/M.Tech or equivalent degree in Computer Science, AI/ML, or related discipline.

- Experience: 3-4 years in AI/ML engineering with focus on NLP, LLMs, and Generative AI.

- Experience in model selection, training, hyperparameter tuning, and evaluation using libraries like scikit-learn, XGBoost, or LightGBM

Technical Skills

- Strong programming proficiency in Python.

- Deep understanding of Machine Learning and Deep Learning concepts.

- Proficient in data preprocessing, feature engineering, and building ML pipelines using scikit-learn and Pandas

- Experience with Transformers, Hugging Face, LangChain, OpenAI APIs, and RAG pipelines.

- Expertise with Pandas, NumPy, and database handling in PostgreSQL, MongoDB, and ChromaDB.

- Familiarity with VS Code, Git, Jupyter Notebook, and FastAPI for development and API integration.

- Experience deploying models using Docker, Kubernetes, or cloud services (AWS / GCP / Azure).

- Knowledge of Computer Vision (OpenCV, Tesseract, or similar frameworks) is a plus.

- Hands-on experience with Vector Databases and Prompt Engineering** techniques.

Soft Skills

- Strong analytical and problem-solving skills.

- Proactive thinker with a research and innovation mindset.

- Excellent communication and collaboration abilities.

- Passion for continuous learning and keeping pace with emerging AI technologies.