Key Responsibilities:
* Leverage technical expertise to lead and mentor ML engineers, data scientists, and MLOps professionals.
* Develop and execute strategies for end-to-end ML/LLM project lifecycle: data pipelines, training, evaluation, deployment, and monitoring.
* Mentor team members on distributed training techniques, large-scale model optimization methods, and system architecture best practices.
* Collaborate with cross-functional teams to define objectives milestones KPIs ensuring alignment with business goals.
Requirements
o Bachelor's degree in Computer Science or related field.
Benefits