Machine Learning Engineer

Arlington, VA, US • Posted 3 days ago • Updated 39 minutes ago
Full Time
On-site
Compensation information provided in the description
Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

  • WebKit
  • Oracle UCM
  • LinkedIn
  • Management
  • Generative Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • Training
  • Deep Learning
  • Algorithms
  • Data Engineering
  • PySpark
  • Software Engineering
  • Data Science
  • Microsoft Azure
  • Amazon Web Services
  • Continuous Integration
  • Continuous Delivery
  • Databricks
  • Unity
  • Git
  • Streaming
  • Machine Learning (ML)
  • Cloud Computing
  • Data Processing
  • SQL
  • Python
  • Scala
  • Optimization
  • IMG
  • SAINT
  • Technical Direction

Summary

Dear Candidate,

My name is Manisha Singh and I am a recruiter at Stellent IT LLC. I am reaching out to you on an exciting job opportunity with one of our clients.

Should you be interested, please send me a copy of your resume in word format along with your LinkedIn URL.

NOTE: We have direct client (Oil & Gas domain company) located in Arlington, VA that is currently looking to fill an open full-time (PERM) Machine Learning Engineer position. This role will require 100% onsite support.

The budgeted salary cap in place for this role is $130,000. s, and TN-1 visa candidates are acceptable and relocation support will be provided.

Position: Machine Learning Engineer

Location: Arlington, VA

Duration: FTE/No C2C

Role: Design, develop, and maintain the product ionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization algorithms. This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work will be done in Databricks and PySpark.

Required: 5 years of machine learning engineering, software engineering, or data science experience. In addition, a Bachelor's degree in a quantitative field of study is required.

Preferred:

Masters in a quantitative field of study.

Experience with the Azure, AWS, or other cloud ecosystems.

Experience in building secure data processing pipelines.

Proficient in utilizing data lakes, CI/CD pipelines, Databricks, Unity Catalog, and Git.

Experience working with streaming.

Expertise in building machine learning solutions using cloud data services.

Exceptional skills in data processing languages such as SQL, Python, or Scala.

Exceptional skills in feature engineering, model optimization, and parameter tuning.

Once again, this is a 100% fully onsite position.

Manisha Singh
Technical Recruiter

E:
T:
A: 505 Knolle Court, Saint Augustine| FL 32092

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91022079
  • Position Id: 2026-49683
  • Posted 3 days ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Arlington, Virginia

Today

Full-time

USD 99,000.00 - 225,000.00 per year

Hybrid in Arlington, Virginia

Today

Full-time

USD 77,600.00 - 176,000.00 per year

Tysons, Virginia

Today

Full-time

USD 120,000.00 - 150,000.00 per year

College Park, Maryland

Today

Full-time

USD 150,000.00 per year

Search all similar jobs