AI Scientist focused on designing production‑grade AI solutions, leveraging LLMs and agentic systems to deliver business outcomes across enterprise‑scale applications.
About the role
Key Responsibilities
Architect and implement end‑to‑end AI pipelines, ensuring scalability, reliability, and compliance for enterprise deployments.
Collaborate with AI engineers, product leaders, and domain experts to translate business problems into AI solutions.
Define evaluation methodologies and metrics to validate model performance and business impact.
Drive best practices in model governance, safety, and ethical AI across the organization.
Mentor junior team members and foster a culture of continuous learning and experimentation.
Requirements
Strong experience in Python and machine learning frameworks (e.g., PyTorch, TensorFlow).
Hands‑on expertise with large language models and agentic system design.
Proven track record of deploying AI solutions at enterprise scale.
Excellent communication skills and ability to work cross‑functionally.
Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines is a plus.