Remote Position
[Remote] Machine Learning Engineer - W2 Contract
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. NextGen, a Kelly Telecom Company, is seeking a Machine Learning Engineer to develop and deploy machine learning solutions for products and applications. The role focuses on building data pipelines, training and validating models, designing proof-of-concept solutions, documenting technical work, testing solutions, and collaborating with cross-functional teams.
Responsibilities
- Implements, refines, and validates machine learning algorithms for products and applications
- Designs and develops 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
- Designs 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
- Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects
- Designs proof of concept solutions and contributes to studies to support future product or application development
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
Company Overview
Company H1B Sponsorship