Building Intelligent Customer Relationships
AI/ML Engineer Position
We are a leading provider of customer relationship management solutions.
Key Responsibilities: - Collaborate with technical teams to develop and deploy AI-powered features.
- Contribute to technical design discussions and provide innovative ideas.
- Develop tools for model experimentation and management.
- Work with Dev
Ops, feature teams, platform teams, and product to deliver scalable infrastructure. - Support initiatives to enhance the scalability and robustness of platforms.
Requirements: - Proficient in at least one of Python or Ruby programming languages.
- At least 1 year of experience in building, scaling, or operating applications with a desire to develop further skills.
- 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 Airflow or Metaflow.
- Experience with recent tooling around LLM evaluation and monitoring.
- Familiarity with machine learning libraries such as Py
Torch. - Experience with SQL or DBT.
Tech Stack: - Our code is written in Python and Ruby.
- Our servers live in AWS.
- Our local machine learning models rely on Py
Torch. - Our ML pipelines use Airflow and Metaflow.
- Our data is stored in S3, RDS My
SQL, and Snowflake. - Our services and models are deployed to Kubernetes using Docker.
- Heavy usage of LLM technology from multiple providers.
Ops, feature teams, platform teams, and product to deliver scalable infrastructure.
- Proficient in at least one of Python or Ruby programming languages.
- At least 1 year of experience in building, scaling, or operating applications with a desire to develop further skills.
- 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 Airflow or Metaflow.
- Experience with recent tooling around LLM evaluation and monitoring.
- Familiarity with machine learning libraries such as Py
Torch. - Experience with SQL or DBT.
Tech Stack: - Our code is written in Python and Ruby.
- Our servers live in AWS.
- Our local machine learning models rely on Py
Torch. - Our ML pipelines use Airflow and Metaflow.
- Our data is stored in S3, RDS My
SQL, and Snowflake. - Our services and models are deployed to Kubernetes using Docker.
- Heavy usage of LLM technology from multiple providers.
Torch.
- Our code is written in Python and Ruby.
- Our servers live in AWS.
- Our local machine learning models rely on Py
Torch. - Our ML pipelines use Airflow and Metaflow.
- Our data is stored in S3, RDS My
SQL, and Snowflake. - Our services and models are deployed to Kubernetes using Docker.
- Heavy usage of LLM technology from multiple providers.
Customer relationships can significantly impact business growth and success. Our goal is to empower organizations to create strong relationships with their customers.
- Informações detalhadas sobre a oferta de emprego
Empresa: beBeeArtificial Localização: Lisboa
São Domingos de Rana, Lisboa, PortugalPublicado: 14. 9. 2025
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