AI/ML Engineer

Lead applied research in LLMs, generative AI, and multimodal models.
Evaluate and experiment with state-of-the-art architectures (e.g., Transformers, Diffusion Models, Retrieval-Augmented Generation).
Publish internal whitepapers and contribute to external conferences where applicable.
Engineering & Implementation

Design and implement scalable AIML pipelines using frameworks like PyTorch, TensorFlow, Hugging Face, and MLflow.
Collaborate with engineering teams to deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring).
Tooling & Infrastructure

Evaluate and integrate advanced AIML tools such as GitHub Copilot, Windsurf, Vertex AI, Azure OpenAI, and Hugging Face Transformers.
Work with cloud platforms (AWS, Azure, GCP) to ensure scalable and secure model deployment.
Architecture & Strategy