15 melhores vagas de python developer para porto, p13 (Contratando agora!)

Senior AI Data Engineer
TechBiz Global GmbH —Porto
- Período Integral
- Teletrabalho
- Graduação
Candidatura rápida
Há 11 dias
Senior Machine Learning Engineer
Wolters Kluwer —Porto
- Período Integral
Data Engineer (Azure & Databricks)
Noesis —Porto
- Período Integral
- Graduação
Candidatura rápida
Há 3 dias
Cybersecurity Engineer (all genders)
diconium GmbH —Porto
- Período Integral
Senior AI Software Engineer
Euronext —Porto
- Período Integral
- Mestrado
AI Engineer Senior
Körber AG —Porto
- Graduação
Há 10 dias
CI/CD Integration Engineer
Critical Techworks —4000 Porto
ASIC Digital Design, Sr Staff Engineer
Synopsys —Porto
Senior Data Engineer
SBM Offshore —4100 Porto
- Mestrado
- Graduação
Senior Data Engineer
Talkdesk —Porto
- Graduação
Candidatura rápida
Linux Security Engineer
Critical Techworks —4000 Porto
Senior Data Engineer
Jscrambler —4200 Porto
- Período Integral
Candidatura rápida
AI Engineer
Planet —Porto
- Período Integral
- Modelo Híbrido
3 h
Backend Engineer
JTA The Data Scientists —4000 Porto
- 30 000 € - 42 000 € por ano
- Modelo Híbrido
- Graduação
Candidatura rápida
10 h
Azure Data & Analytics DevOps Engineer
Metyis AG —Porto
- Período Integral
- Modelo Híbrido
- Mestrado
Candidatura rápida
1 h

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Senior Machine Learning Engineer
Wolters Kluwer —Porto
Experience developing and deploying APIs for machine learning models. Lead the development and deployment of machine learning services and APIs.
Senior Data Scientist | Personalized Medicine | Deep Tech Startup
iLoF —Porto
Develop statistical and machine learning methods for noisy, high-dimensional, and often small-sample data. You work well in interdisciplinary teams and enjoy…
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Senior AI Data Engineer

TechBiz Global GmbH
Porto

Candidatura rápida

Detalhes da oferta

Período Integral
Há 11 dias

Qualificações

Graduação

Descrição completa da oferta

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.

We are currently looking for a dedicated Senior AI Data Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.

Responsibilities:

Design, build, and scale robust ETL/ELT pipelines optimized for AI workloads, including RAG, fine-tuning, and batch inference.
Transform unstructured data sources such as PDFs, logs, and transcripts into structured and vectorized formats suitable for LLM consumption.
Maintain and automate the data-to-model lifecycle, ensuring AI knowledge bases remain synchronized with changing business data.
Develop and maintain real-time feature pipelines that support low-latency AI and machine learning applications.
Integrate data platforms with Kafka and other event-driven systems to enable real-time processing and AI-driven responses.
Manage and optimize Feature Stores to ensure consistency between model training and production environments.
Implement automated data quality controls and validation processes to ensure the reliability and accuracy of AI training and inference data.
Establish and maintain data lineage frameworks to provide traceability, auditability, and regulatory compliance across data workflows.
Enforce data security, privacy, and governance standards, including PII protection and compliance with industry regulations.
Manage data movement and synchronization across on-premises systems, cloud platforms, and data warehouses.
Optimize data storage and retrieval strategies for Vector Databases to support high-performance RAG and AI search workloads.
Collaborate with Data Scientists, ML Engineers, Software Engineers, and business stakeholders to deliver scalable AI data solutions.

10+ years of experience in Data Engineering or Backend Engineering with a strong focus on data platforms and pipelines.
2+ years of hands-on experience supporting AI/ML data pipelines, including data preparation for machine learning and generative AI applications.
Expert-level proficiency in Python and SQL; experience with Java or Scala is an advantage.
Strong experience building and maintaining real-time data streaming solutions using Apache Kafka, Flink, or Spark Streaming.
Hands-on experience with modern data orchestration and transformation tools such as Airflow, dbt, and Prefect.
Experience working with Vector Databases and Feature Stores to support AI and machine learning workloads.
Strong knowledge of cloud-based data services on AWS, Azure, or GCP, including services such as Glue, Kinesis, Data Factory, or Dataflow.
Experience deploying and managing data workloads in Kubernetes (K8s) environments.
Proven experience handling sensitive data within regulated industries such as Fintech, Healthcare, or other compliance-driven environments.
Strong understanding of data quality, governance, security, and privacy best practices.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field. Equivalent practical experience will also be considered.
Excellent problem-solving skills and the ability to collaborate effectively with cross-functional engineering, data, and AI teams.

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python developer vagas para: porto, p13

Senior AI Data Engineer

Senior Machine Learning Engineer

Data Engineer (Azure & Databricks)

Cybersecurity Engineer (all genders)

Senior AI Software Engineer

AI Engineer Senior

CI/CD Integration Engineer

ASIC Digital Design, Sr Staff Engineer

Senior Data Engineer

Senior Data Engineer

Linux Security Engineer

Senior Data Engineer

AI Engineer

Backend Engineer

Azure Data & Analytics DevOps Engineer

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