Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
Collaborate with cross-functional teams including product management, data science, data, and cloud infrastructure to define and execute the AI/ML platform roadmap
Provide guidance to the design and architecture of scalable, reliable, and efficient AI/ML systems and drive critical technology decisions
Driving the execution of the platform strategy following principles of agile methodology and best practices in software development, code quality, and security standards
Create and manage plans, track, and ensure tactical execution and adherence to budgets, schedules, plans, and performance
Actively participate in coding review processes, and problem-solving alongside your team
Build and foster a high-performance culture, mentor team members and provide your team with the tools and motivation to make things happen
Actively participate in the hiring process to attract and onboard top-tier development talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision

BS/MS in Computer Science, Engineering, or a related field
12+ years of experience of software development with 3+ years of experience as a manager
Proven experience leading and mentoring software and ML development teams
Experience with design, build and running scalable, high-performance systems production applications on cloud platforms such as AWS, Azure, or Google Cloud Platform and containerization technologies (Docker, Kubernetes)
Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
Experience working with complex agentic AI architectures, API ecosystems, guardrails, context management and other best of breed AI/ML offerings
Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment
Expertise in CI/CD, automation tools, and practices for machine learning lifecycle management
Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks
Experience with Scrum and agile development processes and methodologies.

Senior Development Manager, Platforms Development AI/ML

Key skills