Data Scientist

4 days ago

Hyderabad, Telangana, India Weekday AI Full time ₹ 12,00,000 - ₹ 24,00,000 per year

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 15-20 LPA)

Min Experience: 5 years

Location: NCR, NOIDA, Andhra Pradesh, Telangana

JobType: full-time

We are seeking a skilled Data Scientist with expertise in Generative AI and Large Language Models (LLMs) to design, develop, and deploy advanced AI-driven solutions. The ideal candidate will combine strong technical depth with innovative problem-solving skills to create scalable, production-ready AI systems that address complex enterprise challenges.

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:
Generative AI | LLMs | NLP | Python | Hugging Face | Azure OpenAI | MLOps | Redis | RAG | Data Science | Machine Learning

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