NTT DATA, Inc.

services.global.ntt

3 Jobs

58,959 Employees

About the Company

NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. 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.

Listed Jobs

Company Name: NTT DATA, Inc.
Job Title: Machine Learning Operations Engineer F/H
Job Description: **Job Title** Machine Learning Operations Engineer **Role Summary** Architect, deploy, and maintain end‑to‑end ML and DevOps pipelines that deliver reliable, scalable AI solutions. Translate business requirements into technical designs, build CI/CD workflows, and manage infrastructure throughout development, testing, and production. **Expectations** - Deliver high‑quality ML models and associated software within agreed SLAs. - Lead cross‑functional teams to integrate new pipelines and services. - Continuously optimize deployment processes and infrastructure for performance and security. **Key Responsibilities** - Analyze business/user requirements and produce detailed system design documents. - Design, implement, and automate CI/CD pipelines for ML code, data, and model artifacts. - Provision, configure, and maintain cloud and on‑prem environments (AWS, Azure, GCP). - Deploy and release ML models, ensuring zero‑downtime and compliance with release policies. - Monitor and troubleshoot production deployments; respond to incidents per SLAs. - Document development procedures, operational Runbooks, and security controls. - Conduct proof‑of‑concepts and collaborate with stakeholders to refine technical solutions. - Review post‑implementation metrics and recommend process improvements. - Support integration, testing, and quality assurance for all ML releases. **Required Skills** - Advanced expertise in DevOps practices and tools (Git, Docker, Kubernetes, Helm). - Proficiency in scripting (Python, Bash, Ruby) and model management (MLflow, Kubeflow). - Deep understanding of cloud services, IaC (Terraform, CloudFormation). - CI/CD pipeline design, automated testing, and release management. - Strong analytical, problem‑solving, and documentation abilities. - Excellent communication with technical teams and business stakeholders. - Project management skills to coordinate multi‑team, multi‑phase deliveries. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Technology, or related field. - DevOps certification (e.g., AWS DevOps, Azure DevOps Engineer, Google Cloud Professional DevOps Engineer). - Agile certification (e.g., Scrum Master, SAFe Practitioner). - Cloud platform certification (AWS, Azure, or GCP). - Scripting language certification (Python, Bash, or equivalent).

Antony, France

Hybrid

04-02-2026

Company Name: NTT DATA, Inc.
Job Title: Senior Angular Developer (Hybrid)
Job Description: Job Title: Senior Angular Developer (Hybrid) Role Summary: Design, develop, and maintain Java/Spring Boot backend services while delivering high‑quality Angular (and React) front‑end components for enterprise‑grade applications. Lead feature architecture, optimize performance, document code, and adopt DevOps practices in an Agile environment. Expactations: 10+ years of core Java experience, 5+ years with Spring MVC/Boot and REST APIs, 2+ years with Angular (React experience is a strong plus). Demonstrated ability to build large applications, strong CS fundamentals, and proven communication and independent collaboration skills. Key Responsibilities: - Design, implement, and maintain Java/Spring Boot components for high‑profile projects. - Collaborate with product owners and business users in Agile sprints to clarify requirements, plan implementation, and ensure delivery. - Develop new features, integrate DevOps practices, and optimize application performance. - Write clean, consistent, well‑documented code; uphold engineering standards and best practices. - Participate in code reviews, troubleshooting, and mentoring junior developers. - Lead initiatives for UI rewrite using the in‑house React framework while maintaining Angular components. - Engage with DevOps tools (Git, Jenkins, JIRA) to support continuous integration and delivery pipelines. Required Skills: - Core Java (class loading, GC, collections, multithreading, concurrent programming, reflections, streams) – 10+ yrs. - Spring MVC / Spring Boot, RESTful APIs – 5+ yrs. - Angular (2+ yrs) and/or React with component libraries (ag-grid, prime-ng, bootstrap, ng‑rx). - Experience building large‑scale applications, deep CS principles, DS, and algorithms. - Standard DevOps tooling: Git, Jenkins, JIRA. - Strong communication, independent and team collaboration, ability to lead clarification and planning. - Preferred: Event streaming (Kafka), MongoDB, cloud migration experience. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, or equivalent professional experience. - No specific certifications required; knowledge of Git, Jenkins, and JIRA considered a plus.

Company Name: NTT DATA, Inc.
Job Title: [Staffing/Freelance] AI/Data Engineer
Job Description: Job title: AI/Data Engineer Role Summary: Design, build, and operate scalable data lakehouse and GenAI solutions on Azure and Databricks, automating pipelines via Terraform and CI/CD, while ensuring governance, security, and performance. Expectations: Deliver production‑grade data and AI services on schedule, maintain high code quality, collaborate with stakeholders, and continuously improve infrastructure and processes. Key Responsibilities: - Build batch and streaming pipelines in Databricks (Python/PySpark, SQL) with Delta Lake and Unity Catalog. - Apply code‑quality best practices, testing, documentation, lineage, and cost‑efficient performance tuning. - Design GenAI workloads using Azure AI Foundry, Azure OpenAI, and Azure AI Search, implementing RAG patterns, grounding, safety, and evaluation metrics. - Deploy models with MLflow, manage experiments, packaging, and model serving. - Create CI/CD pipelines (Azure DevOps/GitHub Actions) for data and AI workloads, integrating monitoring, logs, and drift detection. - Provision Azure and Databricks infrastructure via Terraform (modular design, state, policy enforcement). - Enforce security and governance: RBAC, secrets, data masking, Unity Catalog/Purview, privacy‑by‑design compliance. - Partner with product owners, architects, and SMEs to translate use‑cases into secure, cost‑aware solutions. Required Skills: - Python production coding, PySpark, SQL, unit testing. - Databricks Repos/Workflows, Delta Lake, Unity Catalog, MLflow. - Azure AI Foundry (projects, prompt flows, evaluation), Azure OpenAI (prompt design, safety filters, function calling), Azure AI Search (vector indexing, semantic ranking). - Terraform (AzureRM & Databricks providers), modular IaC patterns. - Git, CI/CD (Azure DevOps or GitHub Actions), code review, trunk‑based or GitFlow. - Strong problem‑solving, communication, ownership, and stakeholder collaboration. Required Education & Certifications: - 3–7+ years data/AI engineering experience on Azure. - BSc/MSc in Computer Science, Data Engineering, AI, or equivalent. - Certifications (preferred): Microsoft Azure Data Engineer Associate, Azure AI Engineer Associate; Databricks Lakehouse Fundamentals/Data Engineer/Machine Learning; HashiCorp Terraform Associate.