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2 Days ago

Data Scientist - LLM/Computer Vision

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Bangalore, Karnataka, India
Information Technology
Full-Time
Bacancy

Overview

Job Title : Senior Data Scientist

Location : On site : Ahmedabad

Experience : 4+ 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.

Required Skills & Qualifications

  • 5+ 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.

(ref:hirist.tech)
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