Data Science Manager

Hello,

Urgent job openings for Data Science Manager-(Gen AI / LLM) @ GlobalData(Hyd).

Job Description given below please go through to understand the requirement.

if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (m.salim@globaldata.com).

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Applying for Data Science Manager(Gen AI / LLM) @ GlobalData(Hyd)

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If out-station willing to move to Hyd? :

Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081.

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Data Science Manager - AI & GENERATIVE LANGUAGE MODELS

Position Overview

We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.

Core Responsibilities

Strategic Leadership

Develop and execute our organization's vision and strategy for generative AI and LLM applications

Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions

Identify high-impact business opportunities where LLMs can deliver significant value

Establish roadmaps for AI implementation hat align with broader organizational goals

Stay at the forefront of rapidly evolving LLM technologies and industry developments

Technical Direction

Oversee the design, development, and optimization of LLM-based applications

Guide the selection, customization, and fine-tuning of language models for specific use cases

Establish architecture and frameworks for integrating LLMs into existing products and services

Implement best practices for prompt engineering, context handling, and model evaluation

Ensure AI solutions balance performance, cost-efficiency, and ethical considerations

Team Management

Build and mentor a talented team of AI specialists with expertise in generative models

Create a collaborative environment that fosters innovation and knowledge sharing

Set clear objectives and performance expectations for team members

Recruit, develop, and retain top AI talent in a competitive market

Promote continuous learning and professional growth within the team

Cross-Functional Collaboration

Partner with business leaders to translate organizational needs into AI solutions

Collaborate with product, engineering, and design teams to integrate AI capabilities

Communicate complex AI concepts effectively to various stakeholders

Work with legal and compliance teams to ensure responsible AI deployment

Drive AI literacy and adoption across the organization

Experience

10+ years of experience in artificial intelligence or machine learning

5+ years of hands-on experience with LLMs and generative AI technologies

5+ years in leadership roles managing technical teams

Proven track record of successfully implementing AI solutions in production environments

Experience with LLM fine-tuning, prompt engineering, and AI application development

Technical Skills

Deep understanding of LLM architectures, capabilities, and limitations

Expertise in natural language processing and generative AI techniques

Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)

Experience with MLOps and AI deployment infrastructures

Knowledge of responsible AI practices, including bias mitigation and ethical AI use

Education Qualification

Master's degree or PhD in Computer Science, AI, Machine Learning, or related field

Relevant certifications in AI, machine learning, or cloud technologies are a plus

Leadership & Professional Skills

Strong strategic thinking and business acumen

Excellent communication and stakeholder management abilities

Team leadership and mentoring capabilities

Problem-solving mindset and ability to drive innovation

Project management skills and experience with agile methodologies

Thanks & Regards,

Salim

(Human Resources)