AI/ML Engineer/Manager - Large Language Model

Key Roles & Responsibilities :

- Lead the design, development, and deployment of Large Language Model (LLM)based solutions for enterprise use cases.

- Architect and implement scalable, secure, and high-performance AI systems in cloud environments.

- Work hands-on with deep learning frameworks such as TensorFlow and PyTorch to build, fine-tune, and optimize models.

- Apply advanced Natural Language Processing (NLP) techniques for tasks such as text generation, summarization, classification, and semantic search.

- Deploy AI/ML solutions on cloud platforms like AWS, Azure, or Google Cloud, ensuring reliability and scalability.

- Collaborate with data scientists, engineers, product managers, and business stakeholders to translate requirements into AI-driven solutions.

- Optimize model performance, latency, and cost for large-scale production environments.

- Ensure best practices for model governance, security, compliance, and monitoring.

- Mentor and guide junior engineers and data scientists, promoting technical excellence within the team.

- Stay up to date with the latest advancements in AI, LLMs, and generative AI technologies, and drive innovation within the organization.

Professional & Technical Skills :

Must-Have Skills :

- Strong proficiency in Large Language Models (LLMs) and generative AI.

- Solid understanding of deep learning frameworks such as TensorFlow or PyTorch.

- Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud) for deploying AI solutions.

- Strong knowledge of Natural Language Processing (NLP) techniques and tools.

- Proven ability to design and implement scalable AI systems.