Jobs for People with MS: National MS Society

Job Summary

We are seeking a highly skilled Full Stack Artificial Intelligence Engineer with expertise in Azure AI and a comprehensive understanding of various AI technologies. As a key member of our team, you will be responsible for designing , developing, and implementing end-to-end AI solutions that seamlessly integrate into existing systems and drive business value. This is an exciting opportunity to join Intelligent automations & AIOps value stream within Eaton’s IT organization. based in Pune, India.

Job Description

This role reports into Manager - Intelligent Automation & AIOps and works closely with senior IT / business leaders , enterprise architects, Cyber Security. This role demands a candidate with experience in AI application development, including front-end and back-end components, user interfaces, and system integrations using .Net, JavaScript, Angular or React, SQL, and APIs.

The candidate should be proficient in deploying AI models using Azure, Kubernetes, and GitHub, and have a deep understanding of Azure AI services, NLP, computer vision, and GPT models. The role requires strong analytical skills, the ability to translate business requirements into AI solutions, and excellent communication skills to explain complex AI concepts to non-technical stakeholders. Collaboration with business leaders and architects is also essential.

Key Requirements:

1. Must have proven experience in building front-end and back-end components for AI applications, building/consuming APIs ,building customer centric user interfaces and designing integrations with other systems using .Net, JavaScript, Angular or React, SQL

2. Must have proven experience in solution deployment by packaging trained AI models as services using Azure deployment services, Kubernetes, and GitHub for version control.

3. Should have in depth understanding of Azure AI services such as Azure Machine Learning and Cognitive Services along with other AI technologies , natural language processing (NLP), computer vision and GPT models

4. Should have strong expertise in articulating and documenting solution architecture for AI projects by collaborating with solution architect and enterprise architects.

5. Must have abilities to collaborate with business leaders to understand their pain points and identify key areas where AI solutions can drive significant business benefit.

6. Must have strong analytical and problem-solving skills, with the ability to translate business requirements into effective AI solutions.

7. Must have excellent communication skills, with the ability to convey complex AI technical concepts to non-technical stakeholders.

Qualifications:

1. Bachelors in engineering/ B.E/B. Tech and/or required equivalent MCA.

2. Overall 10+ years’ experience with proven track record of 5+ years in Solutioning and deploying end to end AI

Skills:

Technical skills : Net, JavaScript, Angular or React, SQL Server, Azure deployment services, Kubernetes, GitHub , Azure Cognitive Services , GPT models, added advantage with GitHub Copilot