NTT

AI Engineer

NTT
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20 hours ago
Delhi, IndiaSenior

Responsibilities

  • Design and develop software solutions, functionality, modules, and cloud-based tools.
  • Write, test, refactor, debug, and review code for large-scale distributed systems.
  • Execute automated testing and contribute to software deployment.
  • Develop microservices and APIs while working with telemetry, structured, and unstructured data.
  • Apply ML/AI algorithms to large datasets.
  • Prototype multi-vendor infrastructure solutions and demonstrate them internally or to clients.
  • Integrate third-party software through automation and coding.
  • Collaborate across engineering and product teams to deliver software components.
  • Maintain technical programs, end-user documentation, and operational procedures.

Requirements

  • Bachelor's degree or equivalent in Computer Science, Engineering, or a related field.
  • Seasoned software development experience, including microservices and RESTful APIs.
  • Expertise in C/C++, C#, Java, JavaScript, Python, Node.js, data structures, algorithms, and software design.
  • Experience with cloud architecture, public-cloud services, infrastructure, and deployments across AWS, GCP, Microsoft Azure, and Microsoft Office 365.
  • Experience with SQL and NoSQL data stores including Elasticsearch, MongoDB, and Cassandra.
  • Experience with Kubernetes, Docker, and LXC/LXD container runtimes.
  • Experience working with large datasets and applying appropriate ML/AI algorithms.
  • Experience with software delivery lifecycle tools covering source control, CI, testing, mocking, work tracking, and defect management.
  • Experience working with geo-distributed teams through innovation, pilot, and production phases.
  • Strong analytical, debugging, collaboration, communication, initiative, and attention-to-detail skills.
  • Microsoft Certified Azure Fundamentals and relevant agile certifications are preferred.

Benefits

  • On-site working arrangement.
  • Opportunity to work at NTT DATA on enterprise-scale AI, cloud, security, connectivity, data center, and application services.
  • Diversity, inclusion, professional growth, and collaboration in a global organization.
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