Software Development Engineer AI/ML

Hello,

Greetings from NTT DATA!!

We are looking out for AI/ML Engineer for NTT Data (nttdataservices.com).

Company Profile

NTT DATA Services, a global digital business, and IT services leader, is the largest business unit outside of Japan of NTT DATA Corporation and part of NTT Group. With our consultative approach, we leverage deep industry expertise and leading-edge technologies powered by AI, automation, and cloud to create practical and scalable solutions that contribute to society and help clients worldwide accelerate their digital journeys. For further details please visit nttdataservices.com

Software Development Engineer AI/ML

This position provides a seasoned AI/ML engineer with an opportunity to help transform enterprise data, workflows, and legacy systems into modern, AI-enabled capabilities that enhance decision-making across S&P Globals products. As an AI/ML Engineer, you will foster a strong sense of collaboration while working closely with internal business partners, data stakeholders, software engineers, and product teams to deliver measurable business outcomes.

Technically, you will design, develop, deploy, and maintain AI/ML solutions that leverage modern cloud-native architectures on AWS. You will apply emerging and established techniques across the end-to-end AI/ML lifecycle, including data engineering, model development, evaluation, deployment, monitoring, and production support. Your experience with applied machine learning, Generative AI, Large Language Models, and integration of AI capabilities into production systems will be used extensively in this role.

At S&P Global, we use modern engineering platforms and services such as GitHub, TeamCity, AWS, Datadog, Artifactory, Confluence, Jira, and CI/CD practices to support rapid delivery. You will also use AI-assisted engineering tools such as GitHub Copilot to improve developer productivity across tasks such as building data pipelines, accelerating experimentation, generating and refining code, improving documentation, and supporting automated testing, while validating outputs and ensuring alignment with responsible AI practices. You will be working in a fast-paced environment, leveraging modern engineering practices to improve code quality, model governance, operational readiness, scalability, and delivery efficiency.

Role Overview:

We are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong background in machine learning and data science, with experience working on large-scale machine learning projects.

As an AI/ML Engineer, you will be responsible for designing, implementing, and optimizing machine learning models, AI applications, and algorithms to solve complex business problems. You will work closely with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to develop innovative solutions that drive business growth.

Requirements:

• Bachelors or master’s degree in Computer Science, Data Science, or a related technical discipline.
• 10+ years of overall software development experience, including 3+ years of hands-on experience in machine learning or AI application development, with a proven track record of delivering production-grade solutions.
• Strong programming proficiency in Python, with demonstrated experience in API development using FastAPI or Flask.
• Backend development experience in C# or Java is considered an added advantage.
• Solid experience developing AI solutions within the AWS ecosystem, including hands-on use of services such as Amazon Bedrock, SageMaker, Lambda, API Gateway, and S3.
• Practical knowledge and implementation experience with Large Language Models and Generative AI frameworks such as LangChain, LlamaIndex, or custom RAG architectures.
• In-depth understanding of RAG systems, including embedding generation, document chunking, retrieval, ranking, and response synthesis.
• Experience with vector databases such as Pinecone, FAISS, or OpenSearch, as well as text embeddings and prompt engineering, is an added advantage.
• Strong understanding of cloud security, including OAuth 2.0-based authentication, IAM policies, secure API design, and data protection practices.
• Familiarity with DevOps practices and tools, including CI/CD pipelines, Docker, and Infrastructure as Code tools such as CloudFormation, AWS CDK, or Terraform.
• Proficiency in relational dat…