Data Scientist

This role is for one of the Weekday's clientsSalary range: Rs Rs ie INR 15-20 LPA)Min Experience: 5 yearsLocation: NCR, NOIDA, Andhra Pradesh, TelanganaJobType: full-timeWe 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.RequirementsKey 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