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Day 17
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Hyderabad, Ind-36, IN, 500032
Live, first seen by us 17 days agoGather client platform constraints, tech stacks, and performance expectations
Create low-level design inputs and technical viewpoints for assigned technology
Assess client environments to ensure system-level integration compatibility
Support testing and troubleshoot errors during deployment with developers and infrastructure teams
Participate in client discussions to gather information regarding platform constraints, technology stacks, and performance expectations
Create low-level design inputs for assigned technology and provides technical viewpoints for specific components
Assess and evaluate client technology environment to support integration of technology components and ensure system-level technical compatibility
Support testing activities for technology components and work with developers and infrastructure teams to troubleshoot errors during deployment phases
Experience: 8-10 Years
Mandatory Skills: AI ML Solution Architecting
Key Skills AI & Machine Learning, Javascript, React, Apache Kafka, kubernetes, Docker, PostgreSQL, Springboot Java, RestAPI, Azure, Terraform Mandatory Skills: AI ML Solution Architecting .
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Day 17
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
173 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Role Purpose
The purpose of this role to analyse client technology environments, create low-level design inputs, and integrate technology components to existing client environment for a specific technology.
Area of Responsibility
Requirement Analysis-Participate in client discussions to gather information regarding platform constraints, technology stacks, and performance expectations of a specific technology.
Designing-Create low-level design inputs for assigned technology and provides technical viewpoints for specific components as per the standards and best practices.
Integration assessment and support-Assess and evaluate client technology environment to support integration of technology components and ensure system-level technical compatibility.
Troubleshooting-Support testing activities for technology components and work with developers and infrastructure teams to troubleshoot errors during deployment phases.
Mandatory Skills: AI ML Solution Architecting .
Experience: 8-10 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
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Hyderabad, Ind-36, IN, 500032
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