Senior Machine Learning/Staff Engineer

Smadex
Madrid, Spain
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Java (Programming Language) Amazon Web Services Artificial Neural Networks Data Mining Data Visualization Linux Python (Programming Language) Linux System Administration Machine Learning Scala (Programming Language) SQL Databases Apache Spark
+6 more
Git Information Technology Data Analytics Bitbucket Software Coding Software Version Control

Job description

Smadex is seeking a Senior Machine Learning/Staff Engineer to lead architectural decisions and development of deep neural network algorithms.Responsibilities include developing new features, improving pipelines, deploying scalable data analytics and ML solutions, and collaborating with Tech and Ops teams.Candidates must have 5+ years in data science, strong coding skills in Python, Scala, Java, experience with high-performance algorithms, statistical techniques, data mining, predictive modeling, version control (Bitbucket/Git), SQL, and excellent communication skills.Fluency in English and mentoring ability required.Preferred qualifications include a Master’s degree in Statistics, Applied Mathematics, or Computer Science, experience with data visualization tools, digital marketing platforms, Apache Spark, AWS services, and Linux environments.The role offers a hybrid work model with 2 days remote per week.private health insurance LinkedIn Learning access meal vouchers gym allowance and a collaborative work environment in Barcelona.#J-*****-Ljbffr

Requirements

Candidates must have 5+ years in data science, strong coding skills in Python, Scala, Java, experience with high-performance algorithms, statistical techniques, data mining, predictive modeling, version control (Bitbucket/Git), SQL, and excellent communication skills. Fluency in English and mentoring ability required. Preferred qualifications include a Master’s degree in Statistics, Applied Mathematics, or Computer Science, experience with data visualization tools, digital marketing platforms, Apache Spark, AWS services, and Linux environments. The role offers a hybrid work model with 2 days remote per week. private health insurance LinkedIn Learning access meal vouchers gym allowance and a collaborative work environment in Barcelona.

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