AI Engineer

NTT DATA, Inc.
San Francisco, United States of America
30 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

San Francisco, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Computer Programming
Databases
Continuous Integration
Python
Machine Learning
Open Source Technology
Recommender Systems
TensorFlow
Software Engineering
Systems Architecture
Data Processing
PyTorch
Large Language Models
Prompt Engineering
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