Senior Machine Learning Engineer

GCS Recruitment; United States; Remote; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

GCS Recruitment is seeking an ML engineer to implement, refine, and validate machine learning models for various products and applications. You will also build data pipelines for ingest, validation, cleaning, and monitoring, and train models for production deployment.

The role involves researching documentation, writing evaluation plans, and collaborating with cross-functional teams to support future product development and improvements.

Qualifikationen

• Bachelor's degree in computer science, computer engineering, mathematics, or related field.
• Experience with ML, deep learning, data mining, and deployment/monitoring of models.
• Strong programming skills in Python, Java, or Scala.
• Knowledge of data pipelines and cloud technologies (Kafka, Spark, Docker).
• 1–3 years related experience after Bachelor's.

Aufgaben

• Implements, refines, and validates ML algorithms for products.
• Implements data pipelines for ingest, validation, cleaning, and monitoring.
• Trains, validates, and deploys ML models into production.
• Assists in PoCs and contributes to future product development.
• Researches and documents requirements, plans, and reports.
• Tests and evaluates solutions, completes case studies and testing.

Kenntnisse

ML/DS fundamentals

Python

Java/Scala

Data pipelines

Cloud technologies

Ausbildung

Bachelor's degree

Tools

Kafka

Spark

Docker

Jobbeschreibung

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 Business in relation to this vacancy.