Senior ML Systems Architect
Machine Learning Engineering Manager
Our team is seeking an experienced Machine Learning Engineering Manager to lead the development and deployment of AI/ML powered features at scale. As a key member of our AI Copilot team, you will be responsible for delivering
- impact projects that drive business results.
Key Responsibilities: - Lead a team of experienced Machine Learning Engineers and Scientists in delivering ML projects to production.
- Collaborate with existing ML/AI leadership to improve software delivery and service reliability.
- Recruit new team members and facilitate a speedy interview process.
- Create a diverse and inclusive working environment where people can thrive.
Requirements: - Experience managing people across one or more teams, ideally working with large distributed systems.
- Proven expertise in leading the delivery of machine learning projects.
- Excellent communication skills, both written and verbal.
- Refined prioritization skills, focusing time on
- impact areas. - A dedication to continual
- development.
Preferred Qualifications: - Previous experience delivering ML products or in MLOps.
- Experience with recent tooling around LLM evaluation and monitoring.
- Experience with either SQL or DBT.
Tech Stack: - Python and Ruby are our primary programming languages.
- We use AWS for server infrastructure.
- Pytorch powers our local machine learning models.
- Airflow and Metaflow handle our ML pipelines.
- Our data is stored in S3, RDS My
SQL, and Snowflake. - Kubernetes using Docker deploys our services and models.
- LLM technology from multiple providers is heavily used.
- Experience managing people across one or more teams, ideally working with large distributed systems.
- Proven expertise in leading the delivery of machine learning projects.
- Excellent communication skills, both written and verbal.
- Refined prioritization skills, focusing time on
- impact areas. - A dedication to continual
- development.
Preferred Qualifications: - Previous experience delivering ML products or in MLOps.
- Experience with recent tooling around LLM evaluation and monitoring.
- Experience with either SQL or DBT.
Tech Stack: - Python and Ruby are our primary programming languages.
- We use AWS for server infrastructure.
- Pytorch powers our local machine learning models.
- Airflow and Metaflow handle our ML pipelines.
- Our data is stored in S3, RDS My
SQL, and Snowflake. - Kubernetes using Docker deploys our services and models.
- LLM technology from multiple providers is heavily used.
- Python and Ruby are our primary programming languages.
- We use AWS for server infrastructure.
- Pytorch powers our local machine learning models.
- Airflow and Metaflow handle our ML pipelines.
- Our data is stored in S3, RDS My
SQL, and Snowflake. - Kubernetes using Docker deploys our services and models.
- LLM technology from multiple providers is heavily used.
- Informações detalhadas sobre a oferta de emprego
Empresa: beBeeEngineering Localização: Odivelas
Odivelas, Lisboa, PortugalPublicado: 14. 9. 2025
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