AI/ML Engineer
About Our Team
We power billions of conversations with brands you know and love.
Job Description
As a Machine Learning Engineer, you'll be delivering AI/ML powered features at scale. Your role will involve working closely with ML Scientists and Senior Engineers to bring innovative solutions into production. You'll participate in technical design discussions, contribute ideas, and collaborate with Dev
Ops, feature teams, platform teams, and product.
Our team is passionate about building great relationships with our customers' customers. We're looking for someone who shares this vision and can help us deliver exceptional results.
Key Responsibilities - Work closely with ML Scientists and Senior Engineers to develop and deploy AI/ML models.
- Participate in technical design discussions and contribute innovative ideas.
- Collaborate with
- functional teams to ensure smooth delivery of projects. - Support initiatives around scalability and robustness of our platforms.
Requirements Must-Haves
- Proficient in Python or Ruby programming languages.
- At least 1 year of 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.
- Deep respect for team collaboration and openness to learning.
Preferred
- Experience with Airflow or Metaflow workflow management tools.
- Familiarity with machine learning libraries such as Py
Torch.
Tech Stack - We use Python and Ruby for our codebase.
- Our servers live in AWS cloud infrastructure.
- Local machine learning models rely on Py
Torch framework. - ML pipelines use Airflow and Metaflow workflow management tools.
- Data is stored in S3, RDS My
SQL, and Snowflake databases. - Services and models are deployed to Kubernetes using Docker containerization.
- functional teams to ensure smooth delivery of projects.
Must-Haves
- Proficient in Python or Ruby programming languages.
- At least 1 year of 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.
- Deep respect for team collaboration and openness to learning.
Preferred
- Experience with Airflow or Metaflow workflow management tools.
- Familiarity with machine learning libraries such as Py
Torch.
Tech Stack - We use Python and Ruby for our codebase.
- Our servers live in AWS cloud infrastructure.
- Local machine learning models rely on Py
Torch framework. - ML pipelines use Airflow and Metaflow workflow management tools.
- Data is stored in S3, RDS My
SQL, and Snowflake databases. - Services and models are deployed to Kubernetes using Docker containerization.
Torch framework.
SQL, and Snowflake databases.
- Informações detalhadas sobre a oferta de emprego
Empresa: beBeeMachineLearning Localização: Barreiro
Barreiro, Setubal, PortugalPublicado: 14. 9. 2025
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