Data Scientist - NLP/LLM

Job Description :

We are looking for an experienced Data Scientist with expertise in Large Language Models (LLMs), Chatbots, Computer Vision (CV), and Statistical Modeling. The ideal candidate should have a strong background in Machine Learning, Deep Learning, NLP & Computer Vision, along with experience in developing and deploying models at scale. Exposure to FastAPI, Flask, and cloud-based tools will be a significant advantage.

Key Responsibilities :

- Design, develop, and optimize machine learning models for various applications, including LLMs, chatbots, and computer vision.

- Work on NLP-based conversational AI solutions, including chatbots and virtual assistants.

- Implement computer vision models for image recognition, object detection, and classification tasks.

- Develop statistical models for data-driven decision-making, forecasting, and pattern recognition.

- Optimize model performance, conduct hyperparameter tuning, and improve inference efficiency.

- Deploy ML models using FastAPI, Flask, or similar frameworks.

- Work with cloud platforms (AWS, GCP, Azure) for model training, deployment, and scaling.

- Collaborate with data scientists, software engineers, and product teams to integrate ML models into production environments.

- Stay updated with the latest advancements in ML, deep learning, and AI research.

Required Skills & Qualifications :

- 3+ years of experience in machine learning, deep learning, NLP, or computer vision.

- Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face

Transformers, OpenAI, etc.

- Experience with LLMs, chatbot development, and fine-tuning transformer-based models.

- Hands-on experience in computer vision using OpenCV, YOLO, or similar frameworks.

- Proficiency in statistical modeling, regression analysis, and probabilistic models.

- Experience in building and deploying APIs using FastAPI, Flask, or Django.

- Familiarity with MLOps, model monitoring, and optimization.

- Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).

- Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Skills (Nice to Have) :

- Experience with multi-modal LLMs, where both text and image inputs are used for model training and

inference.

- Experience with vector databases (FAISS, Pinecone, ChromaDB) for LLM-based applications.

- Knowledge of graph-based ML models for recommendation systems.

- Exposure to real-time ML model deployment and inference optimization.

- Understanding of Reinforcement Learning (RL) techniques for chatbots.