AI-ML Engineer

Req ID: 292627

NTT DATA Services 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 an AI-ML 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, resulting in continued engagements.

Once You Are Here, You Will:

• Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
• Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML).
• Collaborate with Data scientists 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, and 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, and platform capabilities.
• Drive AI use case delivery end-to-end collaborating with Data scientists, Data Engineers, and LOB Technology using standardized platform processes and capabilities.
• Support Production Issues partnering with production support.

Basic Qualifications:

• 5+ years of Python experience.
• 5+ years of big data experience needed (Big Query, Hadoop).
• 3 years of experience in AIML area (MLOps).
• 2+ years of experience in developing APIs using Python/FastAPI.
• 1+ year of Document AI, Agent Builder/GCP search/conversation/Dialogflow - Nice to have.

Preferred Skills:

• 1+ year of experience in LLM, Generative AI (developing capabilities or DevOps).
• Experience in developing APIs on GCP/Azure/API Gateways.
• 1+ year of experience in Vector Database, Model Development would be an added benefit.

Ideal Mindset:

• Lifelong Learner - always seeking to improve your technical and nontechnical skills.
• Team Player - wants to see everyone on the team succeed and is willing to go the extra mile to help a teammate in need.
• Communicator - knows how to communicate design ideas to both technical and nontechnical stakeholders, prioritizing critical information and leaving out extraneous details.

NTT DATA Services is a recognized leader in IT and business services, including cloud, data, and applications, headquartered in Texas. We help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration, and global data centers. We are committed to our clients' long-term success.

NTT DATA Services is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.