Design, develop, and deploy Generative AI solutions for real-world applications.
Work with advanced Large Language Models (LLMs) and build Retrieval-Augmented Generation (RAG) pipelines.
Implement AI / ML models using Python with TensorFlow or PyTorch frameworks.
Fine-tune Transformer-based architectures for domain-specific tasks.
Collaborate with product and engineering teams to integrate AI solutions into production environments.
Optimize model performance, scalability, and accuracy while maintaining cost-effectiveness.
Stay updated with the latest research and trends in Gen AI, LLMs, and NLP.
Required Skills :
Strong expertise in Generative AI and LLMs (GPT, LLaMA, etc.)
Hands-on experience with RAG pipelines and vector databases.
Proficiency in Python, TensorFlow, and / or PyTorch.
In-depth understanding of Transformer models and NLP concepts.
Experience deploying models to cloud environments (AWS, Azure, GCP preferred).
Ability to work in fast-paced environments with minimal supervision.
Good to Have :
Knowledge of MLOps practices and CI / CD pipelines for ML models.
Prior experience with fine-tuning open-source models.
Exposure to LangChain, LLMOps tools, or prompt engineering techniques.
(ref : hirist.tech)
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Artificial Intelligence Engineer • Gurgaon
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