Deep Learning Engineer
Summary
Designs, implements, and optimizes deep learning models using Python with PyTorch and TensorFlow, deploying and scaling them on AWS and GCP while collaborating with cross-functional teams on production integration.
About the Role
We are seeking a skilled Deep Learning Engineer to join our dynamic team. This role is crucial for developing and optimizing deep learning models that drive our innovative projects. As a Deep Learning Engineer, you will leverage your expertise to enhance model performance and contribute to cutting-edge solutions in various applications.
Responsibilities
- Design, implement, and optimize deep learning models to meet project requirements.
- Collaborate with cross-functional teams to integrate models into production environments.
- Conduct experiments to evaluate model performance and iterate on improvements.
- Utilize cloud platforms (AWS, GCP) for model deployment and scaling.
Required Skills and Technologies
- Proficiency in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
- Strong understanding of deep learning model optimization techniques.
- Familiarity with cloud services, specifically AWS and GCP.
- Excellent problem-solving skills and the ability to work independently.
Experience Requirements
- 2-5 years of relevant experience in deep learning and model optimization.
Work Location & Setup
- This position is fully remote, allowing you to work from anywhere in Albany, New York, or across the United States.
- You will be part of a collaborative virtual team environment.
Employment Type & Duration
- This is an hourly position with 8 openings available.
- The duration of the project is not specified, and hours will be determined based on project needs.
Compensation & Benefits
- The salary range for this position is $200 - $350 per hour.
- We offer flexible working arrangements and a supportive work culture.
Additional Information
- Strong communication skills are essential for collaborating with team members and stakeholders.
- We encourage applicants who are passionate about deep learning and eager to contribute to innovative projects.