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