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25/10 Manoj Sharma
Director at HuQuo

Views:15144 Applications:324 Rec. Actions:Recruiter Actions:2

Associate Vice President - Product Architect - AI/Machine Leaning - IIT/NIT/IIM/XLRI (4-12 yrs)

Gurgaon/Gurugram Job Code: 859220

Major responsibility for this position is to design, develop and deploy several data intensive AI/ ML platforms and solutions in cloud and client environments.

Responsibilities - 

- Work with product managers, data scientists, ML engineers and Front end developers to orchestrate technical architecture for AI products/ solutions that interface with Machine Learning and Deep Learning models

- Collaborate with the team to design, develop and deploy new AI products/ solutions that comply with industry best practices and standards

- Assist in planning and execution for all the efforts involved in product development

- Build and mentor a team of developers to create and maintain portfolio of AI products/ solutions

- Develop architectural and design principles to improve performance, capacity, and scalability of products - both on premise as well as cloud setup

- Maintain product roadmap and architectural standards that assure product development projects optimally align with business objectives

Requirements:

- 4 to 12 years of work experience with a broad range of digital web and mobile products, technologies, platforms, patterns, frameworks, and methodologies

- Experience in development of AI solutions by designing proposed system; defining product architecture and functional capabilities including security specifications.

- Experience architecting, developing software, or scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform

- Hands on experience on multiple development tools, languages and frameworks such as Java, JSP, Python, Ruby, JavaScript, Node.js, jQuery, Angular, Bootstrap, CSS, RESTful services and XML

- Deep understanding of open source data platform technologies to support data integration and analytics tasks at scale: Hadoop, Spark, Kafka, Kubernetes, or related technologies

- Experience using APIs, Web hooks and general data transfer approaches

- Prior experience with Data Engineering and Data Science systems is a plus

- Excellent analytical problem solving skills as well as communication skills

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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