Generative AI Engineer

24 hours ago

Bangalore, India Zafify Full time

Generative AI Engineer

About This Role

We're seeking a passionate Generative AI Engineer & problem solver to join our world-class team of innovators who are pushing the boundaries of what's possible with artificial intelligence. You'll be at the forefront of cutting-edgeAI research and development, working on awesome projects.

What You'll Do

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

What We Offer

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

Keywords

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

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