We are looking for a highly skilled Data Scientist with 1 to 6 years of experience to design, develop, and deploy advanced Generative AI models. The ideal candidate will have a strong background in Python, TensorFlow, PyTorch, and experience with cloud platforms such as AWS, Azure, or GCP.

Roles and Responsibility
Design, develop, and deploy advanced Generative AI models, including LLMs and diffusion models.
Fine-tune pretrained models for domain-specific tasks and integrate them into production settings via APIs and microservices.
Embed GenAI capabilities into business workflows and collaborate with product teams to deliver AI-driven solutions.
Optimize inference pipelines for performance, scalability, and low latency using distributed processing strategies.
Ensure compliance with data privacy, security, and ethical AI standards while implementing robust access controls.
Stay ahead of emerging GenAI technologies and apply techniques like prompt engineering, RLHF, and multimodal AI.

Job Requirements




Advanced proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms such as AWS, Azure, or GCP.
Experience with containerization using Docker and Kubernetes.
Robust understanding of MLOps, data pipelines, ETL processes, and performance tuning.
Valuable understanding of banking domain and GenAI use case implementations.
Ability to work closely with data engineers, DevOps, and cloud architects for seamless deployment and maintain detailed documentation.
Demonstrate expertise in optimizing inference pipelines for performance, scalability, and low latency.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Scientist Maharashtra
🏢 LTM
📍 Maharashtra