Develop and optimize Generative AI models (GPT, LLaMA, Stable Diffusion, DALLE, MidJourney, etc.)
Fine-tune LLMs and diffusion models to meet specific business needs.
Implement retrieval-augmented generation (RAG) and integrate AI-powered applications into production.
Work with prompt engineering, transfer learning, and custom model training.
Develop and deploy AI models using cloud platforms (AWS, GCP, Azure) and MLOps best practices.
Optimize model performance for scalability, efficiency, and cost-effectiveness.
Work with vector databases (FAISS, Pinecone, Weaviate) to enhance AI applications.
Stay updated with the latest trends in AI, deep learning, and NLP and apply research into real-world use cases.
Required Skills & Qualifications :
4+ years of hands-on experience in AI / ML development with expertise in Generative AI.
Proficiency in Python, TensorFlow, PyTorch, or JAX for deep learning model development.
Strong experience with LLMs (GPT, BERT, T5, Claude, Gemini, etc.) and Transformer architectures.
Knowledge of computer vision, NLP, and multimodal AI.
Hands-on experience with Hugging Face, LangChain, OpenAI APIs, and fine-tuning techniques.
Experience in deploying AI models using cloud platforms, Kubernetes, and Docker.
Familiarity with MLOps, data pipelines, and vector databases.
Strong problem-solving and analytical skills to tackle AI challenges.
Preferred Skills :
Experience in AI-powered chatbots, speech synthesis, or creative AI applications.
Knowledge of distributed computing frameworks (Ray, Spark, Dask).
Understanding of Responsible AI practices, model bias mitigation, and explainability.
Why Join Us?
Work on cutting-edge AI solutions with real-world impact.
Collaborate with leading AI researchers and engineers.
Competitive salary, remote work flexibility, and upskilling opportunities.
(ref : hirist.tech)
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Generative Ai Engineer • Gurugram
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