Lead AI/ML Engineer

NTT DATA, Inc.; Ashburn (VA); On-site; USD 130,000 - 180,000; Full time

Job summary

NTT DATA is seeking a visionary Lead AI/ML Engineer to drive innovation in AI and ML capabilities for enterprise and government sectors. This role involves full-stack development, leadership in AI solution architecture, and integration of advanced AI/ML solutions. The ideal candidate will possess extensive experience in building scalable AI systems and mentoring teams in a fast-paced environment.

Qualifications

• Minimum 7 years of experience in AI/ML engineering.
• Proven experience with GenAI solutions and ML Ops platforms.
• Strong software engineering foundation in Python.

Responsibilities

• Evaluate and implement machine learning models tailored to business needs.
• Lead the deployment of AI models into production and create integration APIs.
• Provide technical leadership and strategy in AI technologies.

Skills

Machine Learning

AI Frameworks

Python

Natural Language Processing

Data Analysis

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

SageMaker

Snowflake

Vertex AI

TensorFlow

PyTorch

Job description

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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 Lead AI/ML Engineer to join our team in Ashburn, Virginia (US-VA), United States (US).

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

We are seeking a visionary and hands-on Lead AI/ML Engineer to drive innovation and delivery across AI, GenAI, and ML Ops solutions for enterprise and government sectors. This role combines full-stack development, advanced machine learning engineering, operational excellence, and leadership in AI solution architecture. The ideal candidate is a technical leader with deep expertise in building scalable AI systems, mentoring engineers, and deploying impactful solutions in complex, high-stakes environments.

Job Responsibilities Include:

• Evaluate, fine-tune, and implement machine learning models, including large language models (LLMs), focusing on adapting existing models to meet specific business needs.
• Build and train ML models, including defining preprocessing, feature engineering, validation strategies, and hyperparameter tuning.
• Analyze ML algorithms for suitability, assess error patterns, and develop strategies for continuous model improvement.
• Identify opportunities for transfer learning and relevant training datasets.
• Build data ingestion and transformation pipelines to support model training and deployment.
• Verify data quality, perform data cleaning, and oversee data acquisition processes as needed.
• Design and implement enterprise ML platforms, feature stores, and SDKs to support reproducible, scalable ML applications.
• Author and maintain Python packages for data science and engineering teams.

Deployment & Integration:

• Deploy models to production and create APIs to integrate AI models into business operations.
• Support the migration and monitoring of cloud-based NLP environments.
• Drive cybersecurity practices in AI platform deployments.
• Lead R&D of GenAI tools, including staffing and coding assistants for federal agencies.
• Develop and evaluate AI-driven tools such as pull request classifiers and coding support tools.
• Architect and operationalize vectorization pipelines for structured and unstructured data.

Technical Leadership & Strategy:

• Provide technical leadership in AI technologies, including GenAI, machine learning, deep learning, and natural language processing (NLP).
• Ensure the technical quality of AI solutions, including architecture, design, implementation, and deployment.
• Scope, plan, and manage complex AI projects from inception to delivery.
• Assist AI product managers and business stakeholders in understanding the potential, limitations, and results of AI models.
• Collaborate with cross-functional teams, including engineers, data scientists, business analysts, and client partners.
• Build strong relationships with clients, understand their challenges, and propose tailored AI/ML solutions.

Basic Qualifications:

• Minimum 7 years of experience in AI/ML engineering, software development, or related fields.
• Minimum 4 years of experience delivering GenAI solutions and scalable ML Ops platforms in enterprise and federal agency contexts.
• Minimum 4 years of software engineering foundation experience in Python.
• Minimum 4 years of experience in ML/AI platforms including Databricks, SageMaker, Snowflake, and Vertex AI.
• Minimum 3 years of experience with AI frameworks (such as TensorFlow, PyTorch) and building and deploying AI models.
• Minimum 1 year of experience managing engineering teams and mentoring junior talent.
• Must be a U.S. Citizen with the ability to obtain a Public Trust clearance.

Preferred Qualifications:

• AI/ML certification(s) from MAAG Clouds or renowned 3rd-party platforms
• Experience developing SDKs, CLI tools, and automation scripts.
• Exposure to working with LLM architecture / fine-tuning LLMs.
• Knowledge of generative models, GANs, and transformer-based models.
• Knowledge of ethical standards related to AI.
• Proficiency in programming languages.
• Strong communication skills to engage both technical and non-technical stakeholders.
• Active contribution to the broader AI/ML community.

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About NTT DATA

NTT DATA is a $30 billion global leader in business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in over 50 countries and a robust partner ecosystem of established and start-up companies. Our services include consulting, data and AI, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. We are a leading provider of digital and AI infrastructure worldwide. NTT DATA is part of NTT Group, which invests over $3.6 billion annually in R&D to advance digital transformation. Visit us at us.nttdata.com

NTT DATA endeavors to make https://us.nttdata.com accessible to all users. For accessibility support or application assistance, contact us at https://us.nttdata.com/en/contact-us. This contact is for accommodation requests only and not for application status inquiries. NTT DATA is an equal opportunity employer. Qualified applicants will be considered regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. For our EEO Policy, click here. For more on your EEO rights, click here. For Pay Transparency, click here.

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