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Empregos Python em Algés

1 - 15 de 15
1 - 15 de 15
Resultados de Pesquisa - Empregos Python em Algés
Zendesk-Algés
components such as vector databases, serving layers, and orchestration tools.  •  Experience with GCP, AWS, or Azure; Kubernetes; Docker; and distributed systems.  •  Proficiency in at least one server-side language (Python, Java, Scala, Golang, or Ruby...
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Zendesk-Algés
applications, vector databases, or ML/AI infrastructure components.  •  Exposure to AWS, GCP, or Azure; understanding of Kubernetes, Docker, or similar containerized environments.  •  Proficiency in Python and familiarity with at least one other backend language...
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Zendesk-Algés
adeptness in Python, Perl, Bash scripting, JIRA, and more will enable you to orchestrate efficient, automated, and scalable localization processes. Key responsibilities:  •  Develop and maintain localization workflows and processes to ensure efficient...
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Zendesk-Algés
testing frameworks (Python, Java, Scala, Golang, Ruby).  •  Sound understanding of architecture and software design patterns for server-side domains.  •  Experience owning the full lifecycle of ML/AI platform components from early design to production...
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Zendesk-Algés
one of Python or Ruby  •  At least 1 year of experience in building, scaling, or operating applications, with an eagerness to develop your skills further  •  Familiarity with RESTful API, Kafka, Docker, Kubernetes, and cloud environments like AWS or GCP...
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Zendesk-Algés
across our ML services? How do we ensure fairness, explainability, and compliance in ML-driven customer interactions? And many more What you bring to the role Proven track record as a solid software engineer with a focus on Python-based software...
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Zendesk-Algés
and ML science best practices.  •  Strong coding skills in Python; experience with ML frameworks (preferably PyTorch).  •  Experience with large-scale experimentation (e.g., A/B testing), data analysis, and performance tracking.  •  Outstanding mentorship...
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Zendesk-Algés
ownership and have fun. Preferred Previous experience delivering ML products, or in ML operations (MLOps) Experience with recent tooling around LLM evaluation and monitoring Experience with either SQL or DBT Tech Stack Our code is written in Python...
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Zendesk-Algés
work ethic where you can take ownership and have fun. What our tech stack looks like  •  Our code is written in Python, Ruby, Scala, and Java.  •  Our servers live in AWS.  •  Our machine learning models rely on PyTorch and Tensorflow.  •  Our ML pipelines...
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Zendesk-Algés
testing frameworks (Python, Java, Scala, Golang, Ruby).  •  Sound understanding of architecture and software design patterns for server-side domains.  •  Experience owning the full lifecycle of ML/AI platform components from early design to production...
Mostre mais
Zendesk-Algés
applications, vector databases, or ML/AI infrastructure components.  •  Exposure to AWS, GCP, or Azure; understanding of Kubernetes, Docker, or similar containerized environments.  •  Proficiency in Python and familiarity with at least one other backend language...
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Zendesk-Algés
software engineer with a focus on Python-based software development.  •  Advanced proficiency with scalable data processing frameworks (e.g., Spark, AWS Batch, Airflow), distributed databases, and designing reliable data models for heterogeneous datasets...
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Zendesk-Algés
etc.  •  Programming skills in Python or a similar language, with an emphasis on data transformation and automation.  •  Experience with cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working...
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Zendesk-Algés
work ethic where you can take ownership and have fun. What our tech stack looks like  •  Our code is written in Python, Ruby, Scala, and Java.  •  Our servers live in AWS.  •  Our machine learning models rely on PyTorch and Tensorflow.  •  Our ML pipelines...
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Zendesk-Algés
code is written in Python and Ruby  •  Our servers live in AWS  •  Our local machine learning models rely on Pytorch  •  Our ML pipelines use Airflow and Metaflow  •  Our data is stored in S3, RDS MySQL and Snowflake  •  Our services and models are deployed...
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