Data scientist

Role Overview

LTM is an AI-centric global technology services company looking for a specialist to design, develop, and deploy advanced Generative AI models, including LLMs and diffusion models, for enterprise applications. You will work at the intersection of technology and domain expertise to deliver AI-driven solutions that help clients outcreate the market.

Responsibilities

• Design, develop, and deploy advanced Generative AI models, LLMs, and diffusion models for enterprise applications.
• Fine-tune pretrained models for domain-specific tasks and integrate them via APIs and microservices.
• Embed GenAI capabilities into business workflows and collaborate with product teams.
• Optimize inference pipelines for performance, scalability, and low latency using distributed processing.
• Ensure compliance with data privacy, security, and ethical AI standards.
• Apply techniques like prompt engineering, RLHF, and multimodal AI.
• Collaborate with data engineers, DevOps, and cloud architects for seamless deployment.

Requirements

• Advanced proficiency in Python, TensorFlow, and PyTorch.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with containerization using Docker and Kubernetes.
• Knowledge of CI/CD pipelines and MLOps.
• Strong understanding of data pipelines and ETL processes.

Nice to Have

• Banking domain experience with GenAI use case implementations.

Skills

• Python
• PyTorch
• TensorFlow
• AWS
• Docker