Data Scientist

CG-VAK Software & Exports Ltd.

7 years

45 - 55 Lacs

hyderabad telangana india

Posted:23 hours ago| Platform:

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Skills Required

data drive architecture design tuning strategy model leadership training evaluation inference latency quantization distillation experimentation engineering ai coding python pytorch ml strategies software mentoring communication

Work Mode

On-site

Job Type

Full Time

Job Description

About The Role

As a Lead Data Scientist, you will drive the architecture, design, and delivery of GenAI solutions, focusing on LLM and vLLM fine-tuning, data strategy, and model performance. This is a strategic, leadership-oriented role requiring a deep technical foundation and strong stakeholder collaboration.

Key Responsibilities

Lead design and implementation of LLM-powered GenAI platforms and document intelligence products.
Architect and own data pipelines for fine-tuning large language models using large-scale datasets.
Guide and mentor data science teams on LLM training best practices, evaluation, and deployment.
Optimize model inference (latency, throughput) using vLLM, quantization, or model distillation techniques.
Own the model lifecycle — from experimentation to production-grade deployment.
Partner with engineering/product teams to translate business needs into scalable AI solutions.

Required Skills

7+ years in data science, with 3+ years focused on NLP and LLMs.
Proven expertise in fine-tuning large-scale models on enterprise or open datasets.
Hands-on with vLLM, PEFT (Parameter Efficient Fine Tuning), LoRA, and quantization strategies.
Experience optimizing inference pipelines for production environments.
Strong coding background in Python, PyTorch, and scalable ML architectures.
Deep understanding of model alignment, evaluation strategies, and generative QA tasks.

Leadership Skills

Ability to lead cross-functional teams across data science, MLOps, and software engineering.
Experience mentoring junior team members and reviewing model design/code.
Strong communication skills to influence technical and non-technical stakeholders.

Skills: nlp,models,data science,llm,peft,python,tuning,lora,pytorch,data

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