Senior AI/ML Engineer Job at NTT DATA (Irving)

Senior AI/ML Engineer

NTT DATA

Location:
United States , Irving

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are currently seeking a Senior AI/ML Engineer to join our team in Irving, Texas (US-TX), United States (US). Job Description – Senior AI ML Specialist Day to Day job Duties: Designing and fine-tuning advanced AI/ML algorithms, including Generative AI, Large Language Models (LLMs), and traditional ML techniques. Dive Data-driven insights by sampling the data using different strategies like Supervised & Un-Supervised leading, reinforcement, deep learning etc. Building scalable, reliable, and secure end-to-end ML pipelines that handle data ingestion, model training, and real-time inference. Automating model deployment and monitoring for performance, accuracy, and data drift in cloud environments like AWS, Azure, or Google Cloud. Providing technical guidance to junior engineers, shaping AI strategy, and collaborating with cross-functional teams like Product and Data Science. Staying at the forefront of AI advancements to implement cutting-edge technologies like Retrieval-Augmented Generation (RAG) and Agentic AI. Integrating the processed data with generative AI models to deliver business use cases Provide technical leadership and oversight to developers engaged in Python, model integration and data sampling

Job Responsibility:

Designing and fine-tuning advanced AI/ML algorithms, including Generative AI, Large Language Models (LLMs), and traditional ML techniques
Dive Data-driven insights by sampling the data using different strategies like Supervised & Un-Supervised leading, reinforcement, deep learning etc
Building scalable, reliable, and secure end-to-end ML pipelines that handle data ingestion, model training, and real-time inference
Automating model deployment and monitoring for performance, accuracy, and data drift in cloud environments like AWS, Azure, or Google Cloud
Providing technical guidance to junior engineers, shaping AI strategy, and collaborating with cross-functional teams like Product and Data Science
Staying at the forefront of AI advancements to implement cutting-edge technologies like Retrieval-Augmented Generation (RAG) and Agentic AI
Integrating the processed data with generative AI models to deliver business use cases
Provide technical leadership and oversight to developers engaged in Python, model integration and data sampling

Requirements:

Overall 7+ years of experience
3+ Years of experience in Python programming skills, including data manipulation with libraries like Pandas, NumPy and scikit-learn
2+ Years of experience in machine learning frameworks like TensorFlow and PyTorch
2+ Years of experience with Working exposure in the framework like Lang chain, Langraph for integrating with large language models
Expertise in PyTorch, TensorFlow, Keras, or scikit-learn
Exposure of working with LLM offering – Google Model Garden, Amazon Bedrock etc. -- from one of the cloud providers – Google, AWS, Azure etc.
Deep knowledge of NLP, Computer Vision, and vector databases like Pinecone or Weaviate
Proficient in prompt engineering and understanding different strategies like zero-shot, Chain-Of-Thought etc
Strong knowledge of Data science and different sampling techniques to derive the data subset and draw conclusions.

Additional Information:

Job Posted:
May 16, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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