ML Application Engineer: Build, Validate & Deploy Models

GCS Recruitment; United States; Vor Ort; USD 110.000 - 160.000; Vollzeit

Zusammenfassung

GCS Recruitment is seeking a data-driven professional in the United States to implement, refine, and validate machine learning algorithms for products and applications.

You will build data pipelines, train models, validate accuracy, and deploy them into production, while contributing to PoC studies and creating technical documentation and reports.

Qualifikationen

• Bachelor's degree in a relevant technical field.
• Experience with ML, DL, data mining and statistical analysis.
• Proficient in Python, Java or Scala; familiarity with data pipelines and cloud tech.

Aufgaben

• Implement, refine, and validate ML algorithms for products and applications.
• Build and monitor data pipelines including ingest, validation, cleaning, and monitoring.
• Train, validate, and deploy ML models to production.
• Contribute to PoC solutions and studies for future product development.
• Produce documentation, evaluation plans, and technical reports.
• Test solutions and complete case studies and reporting.

Kenntnisse

Machine learning

Deep learning

Data mining

Statistical analysis

Python

Java/Scala

Data pipelines

Cloud technologies

Ausbildung

Bachelor's degree in CS/CE/Math or related

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.