15h Left Generative AI Engineer

6 days ago

Bengaluru, India Programming.com Full time

Job description Role : Generative AI Engineer Location - Bangalore Experience - 6+ Years Notice Period: Immediate joiner 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 What We're Looking For Experience Requirements:  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 Technical skill: Python, C++, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Pydantic AI, Deep Learning, Neural Networks, Optimization, OpenAI API, Claude, Gemini, LLM Deployment, Transformers, Encoder-Decoder, LoRA, QLoRA, RLHF, A/B Testing, Quantization, Pruning, Distillation, MLflow, Weights & Biases, DVC.

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