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Rarr Technologies
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Generative AI Engineer

Generative AI Engineer

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Rarr Technologies

6 - 11 years

8 - 13 Lacs

bengaluru

Posted:14 hours ago| Platform:

Apply

Skills Required

computer science training deep learning c++ transformers deployment research business solutions open source python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Generative AI Engineer

About This Role

Were seeking a passionate Generative AI Engineer & problem solver to join our world-class team of innovators who are pushing the boundaries of whats possible with artificial intelligence. Youll be at the forefront of cutting-edge AI research and development, working on awesome projects.

What Youll 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 Were 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 havent 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

Ai, Deep Learning, Gen Ai, Llm, Mlops, Python

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Generative AI Engineer