MLOPS Engineer

GCS Recruitment; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

GCS Recruitment seeks a technically skilled ML Engineer to implement and refine machine learning algorithms across products. You will build data pipelines for ingestion, validation, cleaning, and monitoring, then train, validate, and deploy models into production.

You will also contribute to proof-of-concept studies, write documentation, and perform testing and evaluations to support future development.

Qualifications

• Bachelor's degree in computer science, computer engineering, mathematics, or related field.
• Experience with ML, DL, data mining, or statistical analysis and deploying/monitoring models.
• Strong programming skills in Python, Java or Scala.

Responsibilities

• Implement, refine, and validate machine learning algorithms for products.
• Build data pipelines with ingest, validation, cleaning, and monitoring.
• Train, validate, and deploy ML models into production.
• Document requirements, evaluations, and test results; contribute to studies.

Skills

ML/DL

Model deployment

Python/Java/Scala

Documentation

Education

Bachelor's degree in computer science or related field

Tools

Kafka

Spark

Docker

Job description

Job Description

• 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

• Bachelor's 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.

GCS is acting as an Employment Agency in relation to this vacancy.