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DHI Solutions - Generative AI Engineer - Python

DHI Solutions - Generative AI Engineer - Python

DHI SolutionsBangalore
30+ days ago
Job description

Job Title : Generative AI Engineer

Experience : 4+ Years

Location : Bangalore (Work From Office 5 Days a Week)

Interview Process : Internal + Client Round (Face-to-Face)

Job Summary :

We are seeking a highly skilled Generative AI Engineer with a strong background in Python, AWS, and Machine Learning technologies. The ideal candidate should have experience building and deploying solutions in NLP, Deep Learning, and Generative AI. This role requires hands-on expertise, problem-solving ability, and a passion for innovation.

Key Responsibilities :

  • Design, develop, and deploy Generative AI models (LLMs, diffusion models, etc.) for real-world applications
  • Implement and optimize NLP solutions for tasks such as summarization, question answering, and chatbot interfaces
  • Apply Deep Learning and Machine Learning techniques to solve complex business problems
  • Work with large datasets to train, fine-tune, and evaluate AI models
  • Collaborate with cross-functional teams including data scientists, product managers, and engineers
  • Deploy scalable AI solutions on AWS using services like SageMaker, Lambda, EC2, and more
  • Stay updated on latest advancements in AI / ML and GenAI research and tools

Required Skills :

  • 4+ years of experience in Python programming
  • Hands-on experience with AWS services relevant to AI / ML
  • Strong expertise in Machine Learning, Deep Learning, and NLP
  • Proficiency in building, fine-tuning, and deploying Generative AI models (e.g., GPT, BERT, Llama, etc.)
  • Solid understanding of model evaluation, performance tuning, and inference optimization
  • Familiarity with ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, etc.
  • Strong problem-solving skills and ability to work in a fast-paced environment
  • Good to Have :

  • Experience working with vector databases (e.g., Pinecone, FAISS, Weaviate)
  • Exposure to prompt engineering and RAG (Retrieval-Augmented Generation) techniques
  • Previous client-facing or enterprise project experience
  • Understanding of MLOps and model monitoring in production
  • Note : Candidates must be willing to work from the Bangalore office, 5 days a week.

    (ref : hirist.tech)

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