Senior ML Engineer: Build, Validate & Deploy Smart Models

GCS Recruitment

United States

Remote

USD 90,000 - 130,000

Full time

14 days+
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Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

ML/DS fundamentals
Python
Java/Scala
Data pipelines
Cloud technologies

Education

Bachelor's degree

Tools

Kafka
Spark
Docker

Job description

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.

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Medical insurance
401(k) with company match
Paid time off