Systems Integration Advisor

Systems Integration Advisor

Req ID: 386872 

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 Systems Integration Advisor to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).

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:

• Bachelor’s 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 databases such as SQL and strong understanding of data modelling.
• Solid grasp of machine learning algorithms and techniques, including deep learning architectures.
• Skilled in data preprocessing, feature engineering, and data manipulation using modern data science tools and libraries.
• Demonstrated experience working across the full AI/ML project lifecycle, from business requirements analysis to model deployment and productization.
• Practical experience using AI-assisted engineering tools such as GitHub Copilot or similar capabilities to improve productivity, code quality, documentation, testing, and development efficiency.
• Strong understanding of responsible AI usage in software and AI/ML engineering, including validation of AI-generated outputs, secure coding practices, data privacy, explainability, and adherence to enterprise standards.
• Strong analytical and problem-solving skills, with a structured approach to debugging, model evaluation, performance tuning, and optimization.
• Excellent communication and collaboration abilities, with experience working in cross-functional and agile teams.

People Skills:

• Ability to translate complex business problems into technical challenges that can be solved using data science, machine learning, and AI techniques.
• Ability to communicate technical ideas, model outcomes, and AI/ML solution approaches effectively to non-technical audiences.
• Ability to work effectively in a team-oriented environment.
• Curious and open-minded attitude toward new approaches, technologies, and methodologies.
• Strong ownership mindset with the ability to drive initiatives from concept through delivery.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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, @nttdatafed.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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