AI Engineer at NTT DATA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Manipulation, API Development, Machine Learning, Cloud Platforms, Containerization, CI/CD, Large Language Models, Version Control, Generative AI, Deep Learning, Big Data Technologies, Problem Solving, Collaboration, Data Pipelines, Software Development

Industry

IT Services and IT Consulting

Description

Job Duties: As a Senior AI Engineer, resource will develop and deploy innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions. Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases. Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets. Assist our data science team in the development and deployment of traditional machine learning models. Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions. Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines. Stay up to date with the latest advancements in machine learning, generative AI, and related technologies. Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR Master's Degree in a similar field with at least 3 years of relevant experience. 5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis. Experience with data manipulation libraries (e.g., Pandas, NumPy). Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts. Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) 3+ years of experience with containerization (e.g., Docker, Kubernetes). 2+ years of experience with CI/CD tools, pipelines Experience working with Large Language Model (LLM) in application development Experience with version control systems (e.g., Git) and software development best practices. Excellent problem-solving skills and ability to work in a collaborative environment. Knowledge of generative AI frameworks such as Langchain or Pydantic AI. Experience deploying software using tools like Docker and Kubernetes. Experience with deep learning techniques and frameworks. Familiarity with big data technologies (e.g., Hadoop, Spark).

Responsibilities

As a Senior AI Engineer, you will develop and deploy innovative AI-powered solutions to solve complex business challenges. You will collaborate with data scientists and assist in the development and deployment of machine learning models while maintaining performance and reliability of APIs and data pipelines.