Data Science(Gen AI & LLM) - Sr Data Scientist/Lead opening at GD(Hyd)

Hello,

Urgent job openings for Data Science(Gen AI & LLM) :-

Data Science : Team Lead/

Senior Data Scientist @ GlobalData(Hyd)

Looking for candidates with experience in Gen AI, LLM, RAG frameworks

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

Mention Subject Line

Applying for Data Science(Gen AI/LLM) - Lead/SSE @ GlobalData(Hyd)

Share your details in the mail :-

Full Name :

Mobile # :

Qualification :

Company Name :

Designation :

Total Work Experience Years :

Current CTC :

Expected CTC :

Notice Period :

Current Location/willing to relocate to Hyd? :

Office Address

Overview:-

Key Responsibilities:-

• Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies

• Develop efficient solutions for LLM integration, fine-tuning, and deployment

• Optimize model performance, latency, and resource utilization

• Build and maintain robust data pipelines for training and inference

• Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG)

• Develop evaluation frameworks to measure AI system performance and output quality

• Collaborate with cross-functional teams to understand requirements and deliver solutions

• Mentor junior developers and share AI/LLM knowledge across the organization

• Participate in code reviews and ensure adherence to best practices

Role Requirement :-

• 5+ years of software development experience with at least 3 years focused on AI/ML technologies

• Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)

• Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques

• Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail.'

• Experience with LLM optimization techniques like quantization and distillation

• Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio)

• Experience with containerization and orchestration tools (Docker, Kubernetes)

• Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development

Qualifications:-

• Bachelors degree in computer science, AI, Machine Learning, or related field

• Master's in AI, B,Tech,MCA, or related field

Thanks & Regards,

Salim

(Human Resources)