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Kyndryl

Managed IT infrastructure and cloud services

Full-Stack Senior Lead Data Scientist - Data Science and AI

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Advanced proficiency in Python and SQL for developing production-grade data pipelines, backend services, and machine learning models.
  • Experience designing, building, and deploying scalable cloud solutions using Microsoft Azure services.
  • Hands-on experience building REST APIs, backend microservices, and system integrations between enterprise cloud applications such as Workday and Microsoft Power Apps.
  • Understanding of the full machine learning lifecycle, including data extraction, model training, deployment, monitoring, and MLOps governance.
  • Expertise with software engineering best practices, including Git version control, containerization such as Docker, automated testing, and CI/CD pipelines.
  • Willingness and flexibility to adjust working hours into the evening, typically until 18:00–19:00 CET, for collaboration with US East Coast and Latin American teams.

Responsibilities

  • Design, build, and deploy end-to-end full-stack data science and AI solutions, focusing on developing the AI agent and natural-language HR reporting tools.
  • Architect and deploy scalable solutions using Microsoft Azure cloud services, integrating enterprise data sources such as Workday and Power Apps.
  • Collaborate with distributed teams across the US, Costa Rica, UK, and India, adjusting the working schedule to support daily alignment with US East Coast stakeholders.
  • Partner with data engineers and business leaders to develop scalable data pipelines, REST APIs, and backend services that operationalize machine learning and AI workloads.
  • Apply software engineering and machine learning engineering (MLOps) practices to move models reliably from development into production.

Desired Qualifications

  • Prior professional experience in management or technology consulting, with the ability to quickly understand complex business processes.
  • Background in a high-growth startup or agile team environment building greenfield technical solutions with minimal supervision.
  • Familiarity with enterprise Data Fabric concepts or human resources data architectures.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

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