ZipRecruiter

Log In

1

Internship Aws Machine Learning Jobs in Virginia

Samprasoft

Machine Learning Engineer

Mclean, VA

GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning Engineers in its Innovation Labs - Tech Strategy team. In this position, you will be responsible for ...

Ametek

Machine Learning Engineer

Herndon, VA · Hybrid

Prior hands-on experience with cloud platforms (AWS, Azure, GCP) and ML services (e.g., SageMaker ... internships, or realworld projects involving applied machine learning. #LI-WA1 #LI-HYBRID

ICONMA

Machine Learning Engineer

Mclean, VA · On-site

Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning ... Python, AWS, Kubernetes, Kubeflow, MLOps, ML Tooling - Spark, Pandas, Numpy * Good to have: Data ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.

CGI Inc.

Senior AWS Cloud Architect

Fairfax, VA · On-site

$66.50 - $84.50/hr

AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted ...

Dark Wolf

Machine Learning Engineer

Herndon, VA · On-site

... g., AWS, Azure, GCP) and their machine learning services. • Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines. • Strong analytical and problem ...

Dark Wolf

Machine Learning Engineer

Chantilly, VA · On-site

... g., AWS, Azure, GCP) and their machine learning services. • Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines. • Strong analytical and problem ...

next page

Showing results 1-20

All JobsAws Machine Learning JobsInternship Aws Machine Learning JobsInternship Aws Machine Learning Jobs in Virginia

Internship Aws Machine Learning information

What are the most commonly searched types of Aws Machine Learning jobs in Virginia? The most popular types of Aws Machine Learning jobs in Virginia are:
What are popular job titles related to Internship Aws Machine Learning jobs in Virginia? For Internship Aws Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Internship Aws Machine Learning jobs in Virginia look for? The top searched job categories for Internship Aws Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Internship Aws Machine Learning jobs? Cities in Virginia with the most Internship Aws Machine Learning job openings:
Internship Aws Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Samprasoft

Mclean, VA

Other

Posted 29 days ago

Job description

GCP/AWS Machine Learning Engineer

Freddie Mac iLab is currently looking for Machine Learning Engineers in its Innovation Labs - Tech Strategy team. In this position, you will be responsible for taking on new initiatives to design, build, and deploy machine learning models in a client solution-oriented environment. As a member of our team, you will make an immediate impact on building and expanding current technology platforms across AWS and GCP.

What you will do:

  • Work within an agile team that includes members with cross-functional skills
  • Collaborate closely with other functional teams to design, build, test, and deploy AI solutions to address market needs
  • Design and implement Machine Learning algorithms and models into software solutions for our enterprise customers by using common machine learning frameworks, including establishing and training machine learning and deep learning models at scale for computer vision (image recognition, object detection, image generation), machine translation, language modeling, rankings and recommendations, speech recognition, etc.
  • Design, build, and implement cloud native applications using the GCP and AWS services, event streaming technologies, and various open source frameworks
  • Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time to feed machine learning algorithms
  • Incorporate real-time data streams to produce highly predictive features in our models
  • Write understandable, testable, and secure code with an eye towards quality and maintainability.

What we are looking for:

  • At least a Bachelor's degree in Computer Science, Mathematics, related technical field or equivalent practical experience.
  • A blend of data engineering, machine learning, and product innovation skills that let you jump into a fast-paced environment and contribute on day one
  • Familiar with monitoring, deployment tools, platforms and Infrastructure as Code (IaC)
  • At least 5 years of experience designing and implementing software solutions for complex problems
  • At least 3 years of experience with cloud computing platform (AWS and GCP)
  • At least 3 years of experience with Cloud Native Architecture, Docker, Microservices, Kubernetes, EKE/GKE, serverless computing, etc.
  • At least 3 years of experience as a data engineer, with large-scale data ecosystems including data lake, data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
  • Experience with building and deploying ML-based solutions and proficiency in common machine learning frameworks such as TensorFlow, XGBoost, scikit-learn, Pytorch and ONNX and programming languages (Python, Java, Go, etc.

Apply