Data Science/Machine Learning Engineer Staff/Orlando

Job Description

Description:Here's a great opportunity to work across teams that include other Machine Learning engineers, software engineers, system domain experts, and project managers to understand the fundamentals of our most challenging technical problems and how Machine Learning may be applied to solve them.
In this position, you will lead the design of ML models, frameworks, pipelines, data strategies, and program processes that address these problems. You will work with mature products that range from low TRL prototypes up to high TRL models and pipelines at a production quality and scale.
You will have the opportunity to provide leadership and mentorship to junior ML engineers and help establish the standard processes that will be applied to development and production-ready Machine Learning solutions.
What’s In It For You:
Our employees play an active role in strengthening the quality of life where we live and work by volunteering more than 850,000 hours annually. Here are some of the benefits you can enjoy:
• Medical
• Dental
• 401k
• Paid time off
• Work/life balance
• Career development
• Mentorship opportunities
• Rewards & recognition
This position is in beautiful Orlando, FL
Basic Qualifications:
- Experience having successfully developed, matured, and deployed Machine Learning solutions to solve real business and technical problems.
- Experience designing and developing ML models and a knowledge of the frameworks and deep learning tools (e.g. TensorFlow, PyTorch, scikit-learn)
- DevOps experience including CI/CD pipelines to build, test, deploy.
Desired Skills:
10+ years experience working and leading Machine Learning based projects.
Experience having led technical teams through multiple phases of development.
Understand the technical risks associated with Machine Learning based solutions and factor mitigating strategies into project planning.
Strong problem solving mindset with the ability to create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a rapid schedule.
Must have the ability to lay out technical roadmaps and communicate those plans and solutions to both highly technical and non-technical stakeholders.