Senior Engineering Manager( AI/ML, Azure)

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.

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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