Senior Engineering Manager( AI/ML, Azure)
4 weeks ago
Position Overview
We are seeking a hands-on Senior Manager to lead our skilled team of software and ML engineers in the design, development, and maintenance of AMP, our next generation machine learning platform. You will be a pivotal figure in fostering collaboration with partners and driving platform adoption. You will define and execute the AI/ML platform roadmap. Your responsibilities encompass driving the technical strategy, execution, and delivery of scalable AI/ML platforms, ensuring understanding of organisational goals and priorities. This role requires a blend of technical expertise in AI/ML technologies,, and a experience delivering complex projects on time and within budget. You will report to Director. You will be working from Pune location.
Responsibilities
Lead and mentor a team of engineers in the development and deployment of AI/ML solutions.
Collaborate with teams including product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap.
Provide sound technical guidance and drive crucial technology decisions.
Stay updated with the latest advancements in AI/ML technologies.
Provide guidance of the design and architecture of scalable, reliable, and efficient AI/ML systems.
Ensure adherence to best practices in software development, code quality, and security standards.
Manage project timelines and resource allocation to drive deliverables.
Foster a culture of innovation, agility, collaboration, and continuous improvement within the engineering team.
Actively participate in the hiring process to attract and onboard top-tier engineering talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision.
Minimum Qualifications
BS/MS in Computer Science, Engineering, or a related field. (MS preferred)
12+ years of experience of software engineering, with at least 3 years in a leadership role.
Experience leading and mentoring software and ML engineering teams.
Experience with identifying potential project risks and developing mitigation strategies.
Background in AI/ML with experience in deep learning, statistical modeling, and neural networks.
Design and build scalable, high-performance systems with understanding of cloud service( Azure) and containerization technologies (Docker, Kubernetes).
Understanding of agile software development methodologies and management practices.
Working knowledge of CI/CD pipelines, automation tools, and practices for machine learning lifecycle management
Preferred Qualifications
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, specifically AWS SageMaker or Azure Machine Learning.
Prior experience in building AI/ML platforms
Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment.
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About Autodesk
Welcome to Autodesk Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package. Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:
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