Remote Machine Learning Engineer I

V-Soft Consulting Group, Inc.; Piedmont (CA); On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Job summary

V-Soft Consulting Group, Inc. is seeking a Machine Learning Engineer I (Remote) to design, implement, and validate ML algorithms for production products.

You will work with data pipelines, train and deploy models, and contribute to proof-of-concept solutions. Qualifications include a Bachelor's in CS/CE/Math or related field, 1-3 years post-bachelor experience, strong programming in Python/Java/Scala, and familiarity with Kafka, Spark, and Docker.

Qualifications

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

Responsibilities

• Implements, refines, and validates machine learning algorithms for products and applications.
• Trains ML models, validates accuracy, and deploys models into production.
• Assists in development of proof-of-concept solutions and supports future product development.
• Researches, writes, and edits documentation and technical requirements, including evaluation plans and reports.
• Tests and evaluates solutions, completes case studies, testing, and reporting.

Skills

Machine Learning

Python

Java/Scala

Data Pipelines

Cloud Technologies

Education

Bachelor's degree in Computer Science, Computer Engineering, Mathematics, related technical discipline, or related industry experience

Tools

Kafka

Spark

Docker

Python

Java

Scala

Job description

V-Soft Consulting Group, Inc. is seeking a Machine Learning Engineer I (Remote) to design, implement, and validate ML algorithms for production products.

You will work with data pipelines, train and deploy models, and contribute to proof-of-concept solutions. Qualifications include a Bachelor's in CS/CE/Math or related field, 1-3 years post-bachelor experience, strong programming in Python/Java/Scala, and familiarity with Kafka, Spark, and Docker.