AI Engineer

NTT DATA, Inc.
San Francisco, CA, United States
3 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Cloud Computing Computer Programming Continuous Integration Machine Learning Open Source Technology Recommender Systems Tensorflow
+15 more
Software Safety Software Engineering Systems Architecture Large Language Models Prompt Engineering Apache Spark Deep Learning Generative AI Fastapi Containerization Scikit Learn Kubernetes Xgboost Machine Learning Operations Docker

Job description

We are seeking an experienced technical leader to architect and scale our AI systems. You will bridge traditional machine learning with state-of-the-art Large Language Models (LLMs), acting as the technical anchor to drive our AI strategy from research to production., * System Architecture: Design, build, and scale secure, cost-effective ML pipelines and Generative AI applications.

  • LLM Integration: Lead development using advanced RAG architectures, prompt engineering, and fine-tuning (PEFT/LoRA) on models like Llama 3, Gemini, and OpenAI.
  • Core Machine Learning: Train and optimize predictive models, classifiers, and recommendation systems using deep learning and classical ML.
  • MLOps & Leadership: Oversee model deployment (CI/CD for ML), monitor for drift, ensure AI safety, and mentor junior engineers.

Requirements

  • 8-10 years in Machine Learning or Software Engineering, with 4+ years deploying Deep Learning models to production.
  • 8+ years experience in Programming & Frameworks: Expert in Python; extensive hands-on experience with PyTorch (preferred) or TensorFlow.
  • 4+ years experience in LLM Ecosystem: Deep knowledge of orchestration (LangChain, LlamaIndex), vector databases (Pinecone, Weaviate), and inference optimization (vLLM, quantization).
  • 6+ years experience in Traditional ML & Data: Strong grasp of statistical modeling (scikit-learn, XGBoost) and large-scale data processing (Apache Spark, Ray).
  • 6+ years experience in MLOps & Cloud: Proficiency with Cloud platforms (AWS/GCP/Azure), containerization (Docker, Kubernetes), model tracking (MLflow), and API deployment (FastAPI).

Education: Master’s or Ph.D. in CS, AI, Math, or equivalent practical experience

Preferred: Open-source AI contributions, experience with multi-modal models, or a background in AI guardrails. “

About the company

NTT DATA is a $30 billion trusted global innovator of 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 more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

1:09 min

Configuring synthetic data for safe interactive programming

Mingshen Sun Mingshen Sun · WWC 2024

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

1:42 min

Introduction to the fast API web framework

Sebastián Ramírez · WWC 2022

9:47 min

Transforming tabular metrics into meaningful business value dashboards

Boris Krumrey +2 · LIVE

Videos

See all

Related articles

See all