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: Software Engineer

Experience: 3 to 6

Position Open: 4

Job Location: Work from Office: Ahmedabad, Hyderabad

Salary: Not a constraint for the right candidate

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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.

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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.

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Qualification: B.Tech/B.E/MCA

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Office Timings: 10.00 AM to 7.00 PM

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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

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