Data Scientist

This role is for one of the Weekday's clients

Salary range: Rs 1500000 - Rs 2000000 (ie INR 15-20 LPA)

Data Scientist

Generative AI

Large Language Models (LLMs)

Requirements

Key Responsibilities:

• Design and implement cutting-edge AI solutions leveraging Generative AI and LLM-based architectures.
• Develop and optimize AI models focused on generative architectures for enterprise applications.
• Integrate APIs and libraries such as Azure OpenAI GPT models and Hugging Face Transformers.
• Build and manage end-to-end AI pipelines — from data ingestion and preprocessing to model training, evaluation, and deployment.
• Utilize vector databases (e.g., Redis) and NoSQL databases for large-scale data management and generative outputs.
• Implement similarity search algorithms and retrieval-based techniques for efficient knowledge access.
• Curate, clean, and preprocess large datasets for generative AI applications.
• Research and experiment with transfer learning, domain adaptation, and model compression techniques.
• Collaborate with cross-functional stakeholders to identify opportunities for AI adoption and deliver business impact.
• Work with domain experts to customize Generative AI solutions tailored to specific business needs.
• Establish robust evaluation metrics and methodologies to assess generative model performance and quality.
• Ensure compliance with data privacy, security, and ethical standards in all AI projects.
• Stay current with emerging trends and advancements in Generative AI and LLM research.
  

Required Skills:

• B.E./M.Tech degree in Data Science, Computer Science, or a related field.
• Minimum 3 years of experience in data analysis, machine learning, or AI model development.
• Strong proficiency in Python or R for data analysis and ML model building.
• Solid understanding of Natural Language Processing (NLP) concepts and pipelines.
• Hands-on experience training and deploying machine learning or LLM-based models.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Understanding of MLOps principles for continuous deployment and monitoring.
• Excellent analytical, problem-solving, and communication skills.
  

Preferred (Bonus) Skills:

• Experience with distributed computing frameworks (e.g., Apache Spark).
• Working knowledge of SQL and NoSQL databases.
• Hands-on experience with Redis, Hugging Face Transformers, and RAG (Retrieval-Augmented Generation) systems.
• Research background in transfer learning, domain adaptation, or model compression.
  

Skills: