This role is for one of the Weekday's clients
Salary range : Rs 1500000 - Rs 2000000 (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