AI Analyst contributing to cross - functional product teams at Personio, leveraging data insights and analytics for decision - making. Responsible for event tracking, impact measurement, and user behavior analysis.
About the role
- AI & Data Engineer building production-ready data and AI solutions for Kyndryl. Working with cloud-native platforms and supporting the full lifecycle of AI applications.
Responsibilities
- Build and operationalize scalable data and AI solutions by translating architectural designs into production-ready systems.
- Develop and maintain data pipelines and AI-enabled services using cloud-native technologies.
- Implement and integrate machine learning and LLM-powered solutions within enterprise workflows.
- Contribute to real-time and batch data architectures (data lakes, streaming platforms, event-driven systems).
- Support MLOps practices, including model versioning, deployment, monitoring, and lifecycle management.
- Collaborate with solution architects, data scientists, and software engineers to deliver MVPs and production solutions in fast, iterative cycles.
- Build secure, scalable APIs and services for AI and data applications.
- Contribute to containerized and orchestrated deployments (Docker, Kubernetes).
- Work in agile development environments, managing pull requests, code reviews, and CI/CD pipelines.
Requirements
- 2–3 years of experience in data engineering, software engineering, or AI engineering roles.
- Strong programming skills in Python; experience with C++, C#, or Rust is a plus.
- Experience with cloud platforms (AWS, Azure, GCP) and cloud-native development.
- Hands-on experience with data platforms (data lakes, data warehouses, streaming systems).
- Familiarity with distributed systems, concurrency, and asynchronous programming.
- Experience with containerization (Docker) and orchestration concepts.
- Knowledge of API design, authentication, and secure execution environments.
- Exposure to MLOps practices, model deployment, and monitoring.
- Familiarity with LLMs, generative AI, and agentic AI concepts.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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