ML Engineer Lead
KreditzSweden10 days ago
Full-timeEngineering, Information Technology
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About The Position
The Kreditz AI team is looking for a Machine Learning Engineer Lead to own the technical delivery and orchestration of our ML flows. This is a leadership role focused on designing scalable ML infrastructure, productionizing models, and monitoring them post-production.
You’ll work closely with our Data Scientists and AI Engineers, who own modeling methodology and domain insights. Your job is to turn great data science into great software: robust, scalable, reproducible and maintainable ML flows. This role combines hands-on ML engineering with strategic planning, technical leadership, and design of ML architecture.
Key Responsibilities
As a Machine Learning Engineer Lead you will:
As soon as possible
SCOPE
Full-time, permanent employment (tillsvidareanställning)
SALARY
Fixed monthly salary
REPORTING
CPO
WORKPLACE
Our office is in Danderyd, Stockholm
CRIMINAL RECORDS EXTRACT
As part of our recruitment process we will ask you to present a clean criminal records extract
RECRUITMENT PROCESS
We interview candidates on an ongoing basis (ongoing selection)
CONTACT
Spilios Tzouras, CPO, [email protected]
Lorenzo Puccio, VP Strategic Operations, [email protected]
The Kreditz AI team is looking for a Machine Learning Engineer Lead to own the technical delivery and orchestration of our ML flows. This is a leadership role focused on designing scalable ML infrastructure, productionizing models, and monitoring them post-production.
You’ll work closely with our Data Scientists and AI Engineers, who own modeling methodology and domain insights. Your job is to turn great data science into great software: robust, scalable, reproducible and maintainable ML flows. This role combines hands-on ML engineering with strategic planning, technical leadership, and design of ML architecture.
Key Responsibilities
As a Machine Learning Engineer Lead you will:
- Design and implement end-to-end ML pipelines on AWS to ensure automation across all stages of the AI / ML models lifecycle.
- Define and own technical architecture for model development, deployment and monitoring, including retraining workflows.
- Collaborate closely with the Kreditz AI Data Scientists to ensure handoff from modeling to deployment is smooth and robust. Design and maintain ML infrastructure using AWS SageMaker, S3, Lambda, Step Functions, etc.
- Drive code quality, reproducibility, and automation across all stages of the models lifecycle.
- Instill best MLOPs practices to the Kreditz AI team and streamline the current processes and frameworks.
- 5+ years of experience in ML development, ideally with at least 1-2 years in a lead role.
- Experience in building, deploying, and maintaining ML models in production environments.
- Proven experience with Python, including common ML libraries (e.g., scikit-learn, pandas, PyTorch/TensorFlow).
- Strong knowledge of AWS services, especially SageMaker, S3, Lambda, and Step Functions.
- Experience planning, assigning, and following up work using Linear (or similar tools like Jira), with a structured approach to sprint planning and progress tracking.
- Experience managing backlogs, sprint planning, and resource allocation for technical teams.
- Comfortable working with CI/CD pipelines, version control (Git), and containerized environments (e.g., Docker).
- Strong communication skills and ability to align cross-functional teams.
- Experience in Open Banking/PSD2.
- Experience from working with credit information within Financial Services
- Growth Journey: A unique chance to be part of a rapidly growing scaleup where every team member plays a crucial role in the company's success.
- Inclusive Culture: Join a diverse, fun-loving, and collaborative team that celebrates both big and small milestones together.
- Wellness Perks: 24/7 access to an on-site gym, sauna, and sports center, plus a wellness allowance.
- Medical insurance: Quick access to professional medical advice and care
- Compensation: Competitive salary
As soon as possible
SCOPE
Full-time, permanent employment (tillsvidareanställning)
SALARY
Fixed monthly salary
REPORTING
CPO
WORKPLACE
Our office is in Danderyd, Stockholm
CRIMINAL RECORDS EXTRACT
As part of our recruitment process we will ask you to present a clean criminal records extract
RECRUITMENT PROCESS
We interview candidates on an ongoing basis (ongoing selection)
CONTACT
Spilios Tzouras, CPO, [email protected]
Lorenzo Puccio, VP Strategic Operations, [email protected]
Key Skills
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