Req ID: 340980 

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 AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

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. They will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring.

Key Responsibilities:

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.

Minimum Skills Required: Required Qualifications

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.

Experience with Databricks 

Preferred Qualifications

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.

Knowledge of natural language processing (NLP).

Familiarity with big data technologies (e.g., Hadoop, Spark).

About NTT DATA

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

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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