Key Skills & Expertise:
- Generative AI & LLMs: Proficiency in GPT-3, Langchain, and LLMs with experience in prompt engineering, few-shot/zero-shot learning, RLHF, and model optimization.
- Machine Learning & NLP: Strong experience in Python with deep learning frameworks like Hugging Face, TensorFlow, Keras, and PyTorch. Solid understanding of embeddings and data modeling.
- Databases: Experience with vector databases, RDBMS, MongoDB, NoSQL databases (HBase, Elasticsearch), and data integration from multiple sources.
- Software Engineering: Expertise in data structures, algorithms, system architecture, and distributed systems.
- Platform & Cloud: Hands-on experience with Kubernetes, Spark ML, Databricks, and developing scalable platforms at scale.
- API Development: Proficiency in API design, RESTful services, and data mapping to schemas.

Key Responsibilities:
- Design, develop, and implement generative AI models using GPT, VAE, and GANs.




- Optimize LLM performance through fine-tuning, hyperparameter evaluation, and model interpretability.
- Collaborate with ML and integration teams to integrate AI models into scalable web applications.
- Build and maintain distributed systems with robust system architecture.
- Integrate data from diverse sources and design productive APIs for seamless functionality.
- Enhance response quality and performance using RLHF and other advanced techniques.

Educational Qualifications & Requirements:
- B.Tech / B.E. /M.Tech / M.E.
- Proven track record in building and deploying AI/ML models, particularly LLMs.
- Prior experience developing public cloud services or open-source ML software is a plus.
- Knowledge of big-data tools would be a big plus

📌 Fullstack Developer (Noida)
🏢 Whitefield Careers
📍 Noida