Data Scientist

Job Brief

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.

Role: Data Scientist

Experience: 3 to 6

Position Open: 4

Job Location: Work from Office: Ahmedabad, Hyderabad

Salary: Not a constraint for the right candidate

Roles And Responsibility

• 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.
  
  

Skill Requirement

• 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).
• 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.
  
  

Qualification: B.Tech/B.E/MCA

Office Timings: 10.00 AM to 7.00 PM

Perks And Benefits

• 5-Days a week
• Health Insurance
• (28 Leaves a year) 18 paid leave & 10 public holiday
• Maternity paternity leave benefit
• Training and Development: Certifications
• Employee engagement activities: awards, community gathering
• Good Infrastructure
• Flexible working culture
• Onsite opportunity
  
  

Social Media Links

(including Updates With Employees’ Engagement Activities)

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