Pune, Maharashtra, India
Information Technology
Full-Time
Bacancy
Overview
Job Title : Senior Data Scientist
Location : On-site: Ahmedabad
Experience : 3+ Years
Employment Type : Full-time
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
Location : On-site: Ahmedabad
Experience : 3+ Years
Employment Type : Full-time
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.
- 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.
- 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.
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