Senior Data Scientist / ML Engineer (Remote Brazil | Temporary)
Join to apply for the Senior Data Scientist / ML Engineer (Remote Brazil | Temporary) role at DBServices Portugal.
Position Overview
We are seeking a Senior Data Scientist / ML Engineer to work on global projects using modern technologies across front-end and back-end layers. This is a 3 to 12-month contract, renewable based on project needs and performance.
Responsibilities
* Design, develop, and deliver machine learning solutions for clients.
* Develop solutions for loosely defined business problems using pattern detection over complex datasets across multiple platforms.
* Create automated, efficient processes for large-scale modeling.
* Collaborate with a distributed team of skilled professionals.
* Work on data acquisition, exploration, visualization, and tool development.
* Maintain a strong sense of ownership and urgency.
Requirements
* Experience in data science and machine learning development.
* Bachelor's or Master's degree in Statistics, Mathematics, Physics, Computer Science, or related fields.
* Proficiency in Python.
* Experience with frameworks like Keras, TensorFlow, or PyTorch, and libraries like scikit-learn.
* Understanding of machine learning algorithms, processes, and platforms.
* Experience with distributed cloud platforms.
* Fluent in English.
Bonus Skills
* Experience with container management and deployment frameworks such as Kubernetes, Kubeflow, and MLFlow.
* Software development experience from scoping to deployment in production environments.
Benefits
* Collaborative environment fostering community and shared success.
* Remote work flexibility.
* Global interaction with diverse cultures.
* Health and mental well-being support through various programs.
About DBServices
We design, develop, and support innovative digital platforms for leading industries across Europe and the Americas, empowering businesses to grow, adapt, and lead in dynamic markets. Trusted by major companies, we deliver impactful solutions and shape the future of digital transformation.
Additional Details
* Seniority Level: Not Applicable
* Employment Type: Full-time
* Job Function: Engineering and IT
* Industries: IT Services and Consulting
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