The Role
Leads the design, development, and optimization of AI/ML models, solutions, and cloud pipelines. Mentors engineers, translates business needs into technical tasks, evaluates emerging technologies including language models and Agentic AI, and ensures scalable, high-quality implementations. Collaborates with product, engineering, and business stakeholders while establishing AI/ML development standards and maintaining current technical knowledge.
Summary Generated by Built In
Key Responsibilities:
- Lead the design, development, and implementation of AI/ML models and solutions.
- Mentor and guide a team of AI/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.
Requirements
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
Skills Required
- Bachelor’s or master’s degree in Computer Science or Information Technology
- 8+ years of professional experience in machine learning, software engineering, and data science
- Understanding of generative models, including Large and Small Language Models
- Experience implementing Agentic AI using LLM/SLM orchestration
- Proficiency in statistical, prescriptive, and predictive analytics
- Experience with software design and modern AI/ML components, including data, data warehousing, AI/ML tools, inference, and microservices
- Practical knowledge of cloud platforms and AI/ML tools such as Azure ML and AWS SageMaker
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The Company
What We Do
Cynosure Corporate Solutions is a human capital services company focused on helping clients align their people strategy with business goals. Its offerings include executive search, recruitment, training, temporary staffing, statutory compliance, and other HR-aligned services. The company says it works to understand client objectives and connect human-resource planning with those objectives, supporting organizations’ workforce needs through tailored talent and employment solutions.
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