Job Requisition ID #
24WD76642
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.
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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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