Job Description

Position: Generative AI Engineer (NV68FCI RM 3524)

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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.

+ o 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

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Job Category:

Digital_Cloud_Web Technologies

Job Type:

Full Time

Job Location:

Bangalore

Experience:

6 - 8 years

Notice period:

Immediate