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Generative AI Engineer - Python

Generative AI Engineer - Python

True Tech Professionals Private LimitedGurugram
30+ days ago
Job description

Key Responsibilities :

  • 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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