Mobility Data Scientist: ML & Feature Engineering Lead

Critical TechWork

Braga

Presencial

EUR 60 000 - 90 000

Tempo integral

14 dias+

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Resumo da oferta

Critical TechWorks is seeking a Data Science Mastermind to lead ML solution development for mobility applications. You will design, train, validate, and optimize models, perform feature engineering, and collaborate with engineers and product visionaries to align solutions with strategic goals.

You’ll work across AWS SageMaker, Spark, and Python ecosystems, emphasize MLOps, CI/CD, and production deployment, and occasionally travel to support product development. Fluency in English is required.

Qualificações

  • At least 3 years of experience in technical software engineering.
  • Hands-on experience with ML frameworks and data science libraries.
  • Experience with data querying languages such as SQL.
  • Experience deploying ML solutions in production is a plus.
  • Experience in automotive data processing or predictive analytics is a plus.

Responsabilidades

  • Machine Learning Solution Development: Design and develop ML solutions.
  • Feature Engineering and Data Processing: Build and optimize feature pipelines.
  • Model Training, Validation and Optimization: Train and improve models.
  • Experimentation and Model Improvement: Lead experimentation and performance optimization.
  • Collaborative Solution Design: Work with engineers and product visionaries.

Conhecimentos

Python
Scala
Pandas
NumPy
scikit-learn

Ferramentas

AWS
SageMaker
Apache Spark
SQL
CI/CD

Descrição da oferta de emprego

Critical TechWorks is seeking a Data Science Mastermind to lead ML solution development for mobility applications. You will design, train, validate, and optimize models, perform feature engineering, and collaborate with engineers and product visionaries to align solutions with strategic goals.

You’ll work across AWS SageMaker, Spark, and Python ecosystems, emphasize MLOps, CI/CD, and production deployment, and occasionally travel to support product development. Fluency in English is required.

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