Senior Lead, Data Science and AI

This is a fully remote position, open to applicants in Poland.

📋 Description

• Create groundbreaking internal data science and AI solutions for Kyndryl’s HR division.

• Develop and sustain an AI agent.

• Construct a natural language data agent on Data Fabric for HR reporting inquiries.

• Design, build, and implement comprehensive end-to-end full-stack data science and AI solutions.

• Architect and deploy scalable solutions utilizing Microsoft Azure cloud services.

• Integrate enterprise data sources including Workday and Power Apps.

• Collaborate with distributed teams across the US, Costa Rica, the UK, and India.

• Modify working hours to facilitate daily coordination with stakeholders on the US East Coast.

• Develop scalable data pipelines, REST APIs, and backend services.

• Operationalize machine learning and AI workloads.

• Implement software engineering and MLOps practices to transition models from development to production.

⛳️ Requirements

• Advanced expertise in Python and SQL.

• Experience in designing, building, and deploying scalable cloud solutions using Microsoft Azure services.

• Practical experience in developing REST APIs, backend microservices, and integrations between enterprise cloud applications like Workday and Microsoft Power Apps.

• Profound understanding of the complete machine learning lifecycle, encompassing data extraction, model training, deployment, monitoring, and MLOps governance.

• Familiarity with software engineering best practices, including Git version control, Docker or other containerization, automated testing, and CI/CD pipelines.

• Willingness and flexibility to work evenings, typically until 18:00–19:00 CET.

• Prior professional experience in management or technology consulting (preferred).

• Background in a high-growth startup or agile team environment (preferred).

• Knowledge of enterprise Data Fabric concepts or human resources data architectures (preferred).

🏝️ Benefits

• Significant architectural freedom to innovate.

• Exposure to state-of-the-art agentic AI technologies.

• Dedicated support to obtain certifications across all four major cloud platforms.

• High visibility among senior leadership.

• Flexible and supportive work environment.

• Well-being support through Be Well programs addressing financial, mental, physical, and social health.

• Personalized development objectives and ongoing feedback.

• Certifications with Microsoft, Google, and Amazon.

• Coaching and practical learning experiences.

• Flexible, hybrid-friendly culture.