AI and Machine Learning Engineer

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI and Machine Learning Engineer to join our team in Charlotte, North Carolina (US-NC), United States (US).

Who we are:

NTT DATA America strives to hire exceptional, innovative and passionate individuals who want to grow with us.   Launch by NTT DATA is the culmination of the company’s strategy to acquire and integrate the skills, experience, and technology of leading digital companies, backed by NTT DATA’s core capabilities, global reach, and depth.

 

How You’ll Help Us:

Our clients need digital solutions that will transform their business so they can succeed in today’s hypercompetitive marketplace. As a team member you will routinely deliver elite solutions to clients that will impact their products, customers, and services. 

Using your development, design and leadership skills and experience, you will design and implement solutions based on client needs. You will collaborate with customers on future system enhancements, thus resulting to continued engagements.

 

How We Will Help You:

Joining our Data practice is not only a job, but a chance to grow your career. We will make sure to equip you with the skills you need to produce robust applications that you can be proud of. Whether it is providing you with training on a new programming language or helping you get certified in a new technology, we will help you grow your skills so you can continue to deliver increasingly valuable work.

 

Once You Are Here, You Will:

• Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
• Be responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML) •    Collaborating with Data scientist to optimize the scoring pipeline.
• Build automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform.
• Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs.
• Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs.
• Collaborate with product owners, devOps team, data scientists, support teams to define and drive end to end model scoring pipelines.
• Participate in day-to-day standups for platform capability build.
• Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities.
• Drive AI use case delivery end to end collaborating with Data scientists, Data Engineers, LOB Technology using standardized platform processes and capabilities.
• Support Production Issues partnering with production support.

 

Basic Qualifications:

• 5+ years of Python experience