Generative AI Engineer (NV68FCI RM 3524)

6 - 11 years

8 - 13 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Position: Generative AI Engineer (NV68FCI RM 3524)

  • 6+ years of overall data science or ML experience.
  • 1.5+ years of hands-on experience with generative AI and large language models.
  • Advanced degree in Computer Science, Machine Learning, or related field.
    Experience in taking ML/DL model to production.

Technical Expertise:

  • Python, C++ or any other high-level language.
  • PyTorch and TensorFlow.
  • Experience with Hugging Face Transformers, LangChain, LlamaIndex, Pydantic AI
  • Deep Learning fundamentals: neural networks, backpropagation, optimization
  • Generative AI frameworks: OpenAI API, Anthropic Claude, Google Gemini, local LLM deployment
  • Model architectures: Transformers, attention mechanisms, encoder-decoder models
  • Fine-tuning techniques: LoRA, QLoRA, full parameter fine-tuning, RLHF
  • Design and implement comprehensive evaluation pipelines
  • A/B testing for AI systems and statistical significance testing
  • Latency optimization techniques: model quantization, pruning, distillation
  • Experience with MLOps tools: MLflow, Weights & Biases, DVC
    Cutting-Edge Technology:
  • Access to premium GPU clusters A100s for training and experimentation
  • Latest hardware and software tools to support your research and development
  • Freedom to explore breakthrough AI technologies and methodologies
  • Work on groundbreaking problems that haven t been solved before
  • Collaborate with world-class researchers and engineers from top universities and tech companies
  • Contribute to open-source projects and publish your research

Core Responsibilities:

  • Collaborate with cross-functional teams to translate complex AI concepts into practical business solutions.
  • Design systems around open source, enterprise models like Llama, Gemini, GPT to solve innovative problems.
  • Build robust evaluation pipelines to assess model performance, safety, and alignment with business objectives.
  • Optimize model latency and performance for real-time applications and large-scale deployment
  • Architect scalable ML infrastructure for training, inference, and model serving
  • Fine-tune Large Language Models (LLMs) and other transformer-based architectures
  • Ability to explain complex AI concepts to technical and non-technical stakeholders

Keywords

Python, Gen AI, LLM, Deep Learning, MLOps, LoRA, QLoRA, PyTorch

Job Category:

Digital_Cloud_Web Technologies

Job Type:

Full Time

Job Location:

Bangalore Gurgaon

Experience:

6 - 8 years

Notice period:

Immediate

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