Sr. Engineering Manager Machine Learning

Job Description

Description: Join us as a Senior Engineering Manager Vision computing (ML platform)About Vision computing platform Our mission is to provide core capabilities in vision computing and machine learning. We want to enable unparalleled guest experience by deriving insights from structured data and unstructured content (videos, images and documents) using vision computing and machine learning platform and capabilities. The platform will provide end to end ubiquitous experience including acquiring, processing, analyzing and understanding content and extraction of high-dimensional data in order to produce numerical or symbolic information, e.g., in the form of decisions. Machine learning platform would enable ML developers to focus on writing efficient ML models solving business problems and train/ deploy/ manage with minimal effort.About the RoleAs a Sr. Engineering Manager, you will lead an engineering team in an agile environment building solutions. The key to the success of this position is having strong & innovative approach to problem solving, great technical leadership, excellent communication (written and verbal, formal and informal), flexibility, and a self-motivated working style with attention to detail.Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. As a Principal Engineer, you ll take the lead as you

• Build a data pipeline platform from Data Ingestion, Collector, Processing, Storage, Query, Visualization for Target Enterprise.
• To liaise with all stakeholders within Target portfolio teams, to develop the necessary capability for Data labelling tools for non-vision and vision use cases. Deliver a framework for Target Enterprise for an effective Data Management (Data life cycle) for Data scienents.
• Manage in the decision-making process related to the selection of technology framework, architecture and end-end stack for building machine & deep learning based vision apps.
• Partner with various in-house teams and vendors in designing and productizing algorithms and ML models across different type of infrastructure (datacenter, edge, far edge compute infrastructure)
• You ll have a strong focus on team management and development, collaborate with partner teams, coach engineers to move through roadmaps and follow engineering best practices.
• You will drive product development and operations with engineers and drive technical decision making, adhering to Target platform architecture and other enterprise decisions.
• You will be responsible for defining the OKRs with the product mgmt. team, and be accountable for delivery.
• You will monitor metrics both business and system metrics to ensure product health and value delivered.
• Curious to learn from the industry, follow emerging trends from established enterprises and startup ecosystem and continuously innovate and drive POCs/ POTs.
• Focus on scale and performance with the need to optimize and execute for realtime needs.
• Establish good stakeholder communication and work closely with Product teams and influence set product roadmap and help drive requirements while being a strong advocate of extreme agile and DevOps practices across engineers.
• Build and manage a team of high performing engineers and provide leadership, coaching, motivation and recommend staffing levels, operating procedures, tools and systems for the team.
• Provide career development and performance management to a team of engineers.
• Provide strong leadership and communication skills and use broad technical knowledge that draws upon diverse experiences.

• 4-year degree in or equivalent experience
• 10+ years of engineering experience
• 1+ years of managing teams with a strong track record of delivery for cross-functional product experience with Cloud hosting and managing products
• Proficient in one or more of Python, C++, Java, Scala or equivalent programing languages. Fluency in machine/deep learning frameworks (e.g. Tensorflow, pyTorch, scikit-learn, opencv).
• Deployed large scale deep learning models/algorithms in prior experience.
• Experience in streaming tech including storm, spark, etc.
• Experience in big data tech including Hadoop, hive, hdfs and related tooling & data related technologies and open source frameworks
• Familiar with software development practices/pipelines (DevOps - kubernetes, docker containers, CI/CD tools).

Keyskills :
Processing Storage Visualization Python Java Scala ataIngestion Collector Query Tensorflow pyTorch scikitlearn openc