Engineering Specialist- Gen AI

5 - 10 years

18 - 22 Lacs

bengaluru

Posted:4 weeks ago| Platform:

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Skills Required

python machine learning artificial intelligence devops aws kubernetes cloud services process streamlining microsoft azure solution development cloud platforms docker training programs containerization gen java computer vision linux jenkins

Work Mode

Work from Office

Job Type

Full Time

Job Description

WhatYoullDo

Develop and deploy end to end AI solutions across various domains
Design and implement deep learning models including Transformers
Utilize large language models for diverse applications
Work with databases and vector databases to manage and analyze data
Leverage frameworks and packages for AI solution development
Implement AI solutions on cloud platforms like Azure and AWS
Develop containerized applications using Docker and other containerization tools
Automate and streamline processes using various tools and technologies
Contribute to projects involving AI driven solutions for enhanced efficiency and performance

WhatYoullBring

Bachelors degree in computer science, Engineering, or a related field
5+ years of experience in AI and machine learning, specifically in computer vision, generative AI, and NLP
Proficiency in programming languages such as Python and C
Strong experience with deep learning and large language models
Familiarity with various databases and vector databases
Hands on experience with cloud services and containerization
Excellent problem-solving skills and ability to work in a team environment
Strong communication skills to interact with stakeholders and team members effectively

Additional Skills:

AWS/Azure Solutions Architect certification with an understanding of broader AWS/Azurestack
Understanding DevOps CI / CD, data security, experience in designing on cloud platform;
Willingness to travel to other global offices as needed to work with the client or other internal project teams

How youll grow:

Cross-functional skills development & custom learning pathways
Milestone training programs aligned to career progression opportunities
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

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