AI Researcher

2 days ago

Bengaluru Bangalore Gurgaon Gurugram, India beBeeGeneral Full time ₹ 1,04,000 - ₹ 13,08,780
Job Title

Generative AI Engineer

Description

This position involves working with complex AI concepts to develop innovative solutions for business problems. We are seeking a talented individual with expertise in generative AI and large language models to join our team.

Required Skills and Qualifications

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
Benefits

Keywords:

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

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