Machine Learning Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Algorithms
Collaboration
Decision-making
Presentations
Python
R
Scala
Data Manipulation
Pandas
NumPy
TensorFlow
PyTorch
scikit-learn
Cloud Computing
Amazon Web Services
Microsoft Azure
Big Data
Apache Hadoop
Apache Spark
Data Science
Computer Science
Statistics
Military
Natural Language Processing
Computer Vision
Machine Learning Operations (ML Ops)
Continuous Integration and Development
Continuous Integration
Regulatory Compliance
Artificial Intelligence
Machine Learning (ML)

Job Details

Hiring: W2 Candidates Only



Location: USA



Visa: Open to any visa type with valid work authorization in the USA



Level: Mid to Lead positions

What you will do:

  • Develop and implement machine learning models and algorithms to optimize AI operations and enhance system performance.
  • Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions.
  • Analyze large datasets to extract actionable insights and support strategic decision-making.
  • Design and conduct experiments to validate model performance and improve operational processes.
  • Monitor and maintain AI models in production to ensure effective and efficient operation.
  • Communicate findings and recommendations to stakeholders through clear visualizations and presentations.





What you will need to have:

  • 7+ years of experience in data science, focusing on AI and machine learning applications.
  • 5+ years of experience in programming with Python, R, or Scala and using data manipulation libraries like Pandas, Numpy.
  • 5+ years of experience working with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • 7+ years of experience with cloud platforms like AWS or Azure and big data technologies such as Hadoop, Spark.
  • Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field, and/or equivalent military experience.





What would be great to have:

  • 5+ years of experience designing and deploying end-to-end machine learning pipelines in production environments.
  • 4+ years of expertise in natural language processing (NLP) and computer vision techniques.
  • 3+ years of knowledge in reinforcement learning and its practical applications.
  • 4+ years of experience with ML Ops tools and practices for continuous integration and deployment of machine learning models.
  • 3+ years of familiarity with regulatory and compliance considerations for AI and machine learning solutions.

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.