Senior Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Machine Learning Engineer for a contract length of "unknown" with a pay rate of "unknown," located in "unknown." Key skills include predictive modeling, machine learning, and proficiency in Python or Java. A Bachelor's degree and 4 years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
June 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Classification #Spark (Apache Spark) #Mathematics #Java #Clustering #Big Data #Programming #ML (Machine Learning) #Visualization #Statistics #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Framework #Python #Tableau #Scala #Computer Science #C++ #Hadoop
Role description
Senior Role
The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the correct answers.
Responsibilities
• Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with the engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
Qualifications
• Bachelor's degree or equivalent experience in a quantitive field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 4 years of experience in quantitative analytics or data modelling
• Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, CC++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Senior Role
The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the correct answers.
Responsibilities
• Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with the engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
Qualifications
• Bachelor's degree or equivalent experience in a quantitive field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 4 years of experience in quantitative analytics or data modelling
• Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, CC++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
