NextGen | GTA: A Kelly Telecom Company
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include machine learning, Python, and LLMS. A Bachelor's degree and 1-3 years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 8, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Cloud #Kafka (Apache Kafka) #Mathematics #Spark (Apache Spark) #Data Mining #Java #Computer Science #Documentation #Monitoring #Scala #Data Cleaning #Data Pipeline #Programming #Python #Docker #ML (Machine Learning) #Deep Learning
Role description
MUST HAVES:
• Machine learning
• Python
• LLMS
Responsibility
- 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.
Skills
- Bachelors degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience
- 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.
MUST HAVES:
• Machine learning
• Python
• LLMS
Responsibility
- 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.
Skills
- Bachelors degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience
- 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.
