Live opening · Posted 19 days ago

Machine Learning (ML) || 12+ Years || Bangalore / Pune

A Client of Neerinfo Solutions · Bengaluru, Karnataka, India (Hybrid)
Linkedin No
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At a glance

The key details from the original listing.

Posted 19 days ago
CompanyA Client of Neerinfo Solutions
LocationBengaluru, Karnataka, India (Hybrid)
Work modeNo
SourceLinkedin
Listed19 days ago

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About the role

Description supplied by the original job listing.

Must have skills : Machine Learning (ML)
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
A typical day involves designing, building, and refining comprehensive system features that span from the user interface to the backend infrastructure. This role requires actively engaging in the entire development lifecycle, ensuring seamless integration and functionality. The engineer collaborates with various teams to implement innovative solutions that enhance client services, while embracing modern technologies and agile methodologies to address complex business challenges in a cloud-focused environment.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the coordination of project tasks to ensure timely delivery and quality standards.
- Mentor junior team members to foster skill development and knowledge sharing.
- Continuously evaluate and integrate emerging technologies to improve system performance and scalability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Experience in designing and implementing scalable backend services and APIs.
- Strong knowledge of frontend technologies and frameworks to create responsive user interfaces.
- Familiarity with cloud platforms and deployment strategies to support agile development.
- Ability to troubleshoot and optimize system performance across the full technology stack.

Work arrangement
No

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