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:
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Design and implement cutting-edge AI solutions leveraging Generative AI and LLM-based architectures.
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Develop and optimize AI models focused on generative architectures for enterprise applications.
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Integrate APIs and libraries such as Azure OpenAI GPT models and Hugging Face Transformers.
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Build and manage end-to-end AI pipelines — from data ingestion and preprocessing to model training, evaluation, and deployment.
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Utilize vector databases (e.g., Redis) and NoSQL databases for large-scale data management and generative outputs.
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Implement similarity search algorithms and retrieval-based techniques for efficient knowledge access.
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Curate, clean, and preprocess large datasets for generative AI applications.
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Research and experiment with transfer learning, domain adaptation, and model compression techniques.
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Collaborate with cross-functional stakeholders to identify opportunities for AI adoption and deliver business impact.
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Work with domain experts to customize Generative AI solutions tailored to specific business needs.
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Establish robust evaluation metrics and methodologies to assess generative model performance and quality.
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Ensure compliance with data privacy, security, and ethical standards in all AI projects.
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Stay current with emerging trends and advancements in Generative AI and LLM research.
Required Skills:
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B.E./M.Tech degree in Data Science, Computer Science, or a related field.
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Minimum 3 years of experience in data analysis, machine learning, or AI model development.
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Strong proficiency in Python or R for data analysis and ML model building.
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Solid understanding of Natural Language Processing (NLP) concepts and pipelines.
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Hands-on experience training and deploying machine learning or LLM-based models.
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Familiarity with cloud platforms such as Azure, AWS, or GCP.
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Understanding of MLOps principles for continuous deployment and monitoring.
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Excellent analytical, problem-solving, and communication skills.
Preferred (Bonus) Skills:
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Experience with distributed computing frameworks (e.g., Apache Spark).
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Working knowledge of SQL and NoSQL databases.
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Hands-on experience with Redis, Hugging Face Transformers, and RAG (Retrieval-Augmented Generation) systems.
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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