Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a contract basis, requiring 1-3 years of experience. Pay rate is "unknown," and work location is "remote." Key skills include Python, Java, data pipelines, and machine learning expertise.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 5, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Pipeline #Computer Science #Mathematics #Kafka (Apache Kafka) #Data Cleaning #Docker #Documentation #Python #Programming #ML (Machine Learning) #Cloud #Scala #Monitoring #Java #Deep Learning #Data Mining #Spark (Apache Spark)
Role description
Responsibilities:
• Implements, refines, and validates machine learning algorithms for products and applications.
• Implements data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring.
• Trains machine learning models, validates the accuracy of the machine learning models once trained, and deploys validated machine learning models into production.
• Assists in development of proof of concept solutions and contributes to studies to support future product or application development.
• Researches, writes, and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations, and reports.
• Tests and evaluates solutions. Completes case studies, testing, and reporting.
Qualifications:
• Bachelors degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience.
Required Skills:
• Experience with machine learning, deep learning, data mining, and/or statistical analysis tools and how to deploy and monitor machine learning models.
• Strong programming and software development skills and familiarity with Python, Java or Scala.
• Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker.
• 1-3 years related experience after Bachelors.
Responsibilities:
• Implements, refines, and validates machine learning algorithms for products and applications.
• Implements data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring.
• Trains machine learning models, validates the accuracy of the machine learning models once trained, and deploys validated machine learning models into production.
• Assists in development of proof of concept solutions and contributes to studies to support future product or application development.
• Researches, writes, and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations, and reports.
• Tests and evaluates solutions. Completes case studies, testing, and reporting.
Qualifications:
• Bachelors degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience.
Required Skills:
• Experience with machine learning, deep learning, data mining, and/or statistical analysis tools and how to deploy and monitor machine learning models.
• Strong programming and software development skills and familiarity with Python, Java or Scala.
• Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker.
• 1-3 years related experience after Bachelors.
