Generative AI Engineer

Role

Location

Experience

Notice Period

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: