Key Responsibilities:
Lead Design, development, and implementation of AI/ML models and solutions.
Mentor Guide a team of ML engineers, fostering a collaborative and innovative environment.
Translate business requirements into technical specifications and tasks.
Research and evaluate new AI/ML technologies and methodologies, including Large and Small Language Models and Agentic AI frameworks.
Implement and optimize AI/ML pipelines on cloud platforms such as Azure and AWS.
Ensure The quality, performance, and scalability of AI/ML solutions.
Collaborate with cross-functional teams, including product, engineering, and business stakeholders.
Contribute to the development of best practices and standards for AI/ML development.
Maintain up-to-date knowledge of the latest advancements in AI/ML and related fields.
Skills&Experience
Master's degree or Bachelor's degree in Computer Science or Information Technology
8+ years of professional experience in Machine Learning, Software Engineering, and Data Science
Solid understanding of generative models, including Large and Small Language Models.
Experience implementing Agentic AI using LLM/SLM orchestration.
Proficiency in classical data science methodologies (statistical, prescriptive, and predictive analytics).
Experience in software design and practical understanding of modern AI/ML software components (data, data warehousing, AI/ML tools, inference, and microservices).
Practical knowledge of cloud platforms and AI/ML tools like Azure ML and AWS SageMaker