AI Engineer at NTT DATA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Manipulation, API Frameworks, Machine Learning, Cloud Platforms, Containerization, CI/CD Tools, Large Language Models, Version Control, Databricks, Generative AI, Deep Learning, Natural Language Processing, Big Data Technologies

Industry

IT Services and IT Consulting

Description

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. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Responsibilities

The Senior AI Engineer will develop and deploy innovative AI-powered solutions, collaborating closely with data scientists and engineers throughout the AI development lifecycle. Key tasks include implementing generative AI technologies, building APIs, and maintaining data pipelines.