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Senior Machine Learning Engineer

This role is for a Senior Machine Learning Engineer with a contract length of "Unknown," offering a pay rate of "Unknown." Key skills include predictive modeling, machine learning, and proficiency in Python or Java. A bachelor's degree and 4+ years of experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 11, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
New York, United States
🧠 - Skills detailed
#C++ #Spark (Apache Spark) #Clustering #Mathematics #"ETL (Extract #Transform #Load)" #Computer Science #Statistics #ML (Machine Learning) #Programming #Python #Data Framework #SQL (Structured Query Language) #Java #Visualization #Big Data #Classification #Scala #Tableau #Hadoop
Role description
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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)