Machine Learning Engineer: Build, Validate & Deploy Models

GCS Recruitment; United States; Remote; USD 85,000 - 120,000; Full time

Job summary

GCS Recruitment is seeking a motivated ML Engineer to implement, refine, and validate machine learning algorithms for products and applications in a production environment.

You will develop data pipelines, train models, validate accuracy, and deploy validated models. You will also contribute to PoC efforts and document technical plans, test results, and reports.

Qualifications

• Bachelor's degree in computer science, computer engineering, mathematics, or related technical discipline.
• Experience with machine learning, deep learning, data mining, or statistical analysis tools and deploying/monitoring models.
• Strong programming and software development skills; familiarity with Python, Java, or Scala.
• Knowledge of data pipelines and cloud technologies such as Kafka, Spark, and Docker.
• 1-3 years related experience after Bachelor's.

Responsibilities

• Implements, refines, and validates machine learning algorithms for products and applications.
• Builds data pipelines including ingestion, validation, cleaning, and monitoring.
• Trains models, validates accuracy, and deploys models to production.
• Assists in PoC development and contributes to studies for future products.
• Researches, writes, and edits technical docs, evaluation plans, and reports.
• Tests and evaluates solutions; completes case studies, testing, and reporting.

Skills

ML & DL tools

Programming: Python/Java/Scala

Data pipelines & cloud (Kafka/Spark/D

Education

Bachelor's degree in CS/CE/Math 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 Business in relation to this vacancy.