Data Driven Solutions Architect
Job Opportunity
We are looking for a highly skilled Machine Learning Engineer to join our team. Your primary focus will be on delivering AI/ML powered features for our customers at scale.
Our code is written in Python and Ruby, with servers living in AWS. We rely on Py
Torch for local machine learning models, Airflow and Metaflow for ML pipelines, and Docker for Kubernetes deployment.
Key Responsibilities - Collaborate with ML Scientists and Senior Engineers to bring ML-powered features into production
- Participate in technical design discussions and contribute ideas
- Assist in building tools to support model experimentation and management
- Collaborate with Dev
Ops, feature teams, platform teams, and product - Support initiatives to improve scalability and robustness of platforms
- Help design, prototype, and refine scalable infrastructure
Required Skills and Qualifications - Proficient in Python or Ruby with experience in building, scaling, or operating applications
- Familiarity with RESTful API, Kafka, Docker, Kubernetes, and cloud environments like AWS or GCP
- Ability to work through ambiguity with guidance from others, and adapt to changing priorities
- Deep respect for team collaboration and openness to learning from others
- Interest in building solutions utilizing AI/ML
Preferred Qualifications - Experience with recent tooling around LLM evaluation and monitoring
- Familiarity with machine learning libraries such as Py
Torch - Experience with SQL or DBT
Benefits and Tech Stack - Opportunity to work on
- scale AI/ML projects - Access to
- edge technologies and tools - Chance to collaborate with experienced engineers and scientists
- Development opportunities in a
- paced environment - Python and Ruby codebases
- AWS server infrastructure
- Py
Torch machine learning models - Airflow and Metaflow ML pipelines
- Docker and Kubernetes deployment
- S3, RDS My
SQL, and Snowflake data storage - LLM technology integration
Ops, feature teams, platform teams, and product
- Proficient in Python or Ruby with experience in building, scaling, or operating applications
- Familiarity with RESTful API, Kafka, Docker, Kubernetes, and cloud environments like AWS or GCP
- Ability to work through ambiguity with guidance from others, and adapt to changing priorities
- Deep respect for team collaboration and openness to learning from others
- Interest in building solutions utilizing AI/ML
Preferred Qualifications - Experience with recent tooling around LLM evaluation and monitoring
- Familiarity with machine learning libraries such as Py
Torch - Experience with SQL or DBT
Benefits and Tech Stack - Opportunity to work on
- scale AI/ML projects - Access to
- edge technologies and tools - Chance to collaborate with experienced engineers and scientists
- Development opportunities in a
- paced environment - Python and Ruby codebases
- AWS server infrastructure
- Py
Torch machine learning models - Airflow and Metaflow ML pipelines
- Docker and Kubernetes deployment
- S3, RDS My
SQL, and Snowflake data storage - LLM technology integration
Torch
- Opportunity to work on
- scale AI/ML projects - Access to
- edge technologies and tools - Chance to collaborate with experienced engineers and scientists
- Development opportunities in a
- paced environment - Python and Ruby codebases
- AWS server infrastructure
- Py
Torch machine learning models - Airflow and Metaflow ML pipelines
- Docker and Kubernetes deployment
- S3, RDS My
SQL, and Snowflake data storage - LLM technology integration
- Informações detalhadas sobre a oferta de emprego
Empresa: beBeeMachineLearning Localização: Lisboa
Algés, Lisboa, PortugalPublicado: 14. 9. 2025
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