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Full Time Machine Learning Ops Engineer Jobs in Florida

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.

Machine Learning Engineer

Melbourne, FL · On-site

$73K - $131K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... Regular Full-time Background Check Type: 7 Year Pre-Employment Drug Screen Required: None Position ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Full Time Machine Learning Ops Engineer information

What is the difference between Full Time Machine Learning Ops Engineer vs Data Scientist?

AspectFull Time Machine Learning Ops EngineerData Scientist
Primary focusDeploying, maintaining, and optimizing ML models in production environmentsAnalyzing data, building models, and deriving insights
Required skillsMachine learning deployment, cloud platforms, scripting, DevOps practicesStatistical analysis, data visualization, programming (Python/R)
Work environmentProduction systems, cloud infrastructure, cross-functional teamsResearch, data analysis, model development in labs or offices
Common certificationsCloud certifications (AWS, GCP), ML Ops certificationsData science certifications, statistical courses

While both roles involve machine learning, the Full Time Machine Learning Ops Engineer focuses on deploying and maintaining models in production, requiring DevOps and cloud skills. Data Scientists primarily analyze data and develop models, often working in research settings. Understanding these differences helps in choosing the right career path or job focus.

What are the most commonly searched types of Machine Learning Ops Engineer jobs in Florida? The most popular types of Machine Learning Ops Engineer jobs in Florida are:
What are popular job titles related to Full Time Machine Learning Ops Engineer jobs in Florida? For Full Time Machine Learning Ops Engineer jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Full Time Machine Learning Ops Engineer jobs? Cities in Florida with the most Full Time Machine Learning Ops Engineer job openings:
ML Ops Engineer

ML Ops Engineer

Raft

Tampa, FL • On-site

Full-time

Posted 22 days ago


Job description

Job Summary:
Raft is a customer-obsessed small business focused on Distributed Data Systems and Complex Application Development, headquartered in McLean, VA. They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.
Responsibilities:
• Collaborate with a cross-functional data team comprising AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists.
• Design, build, and maintain the infrastructure and pipelines that enable Machine Learning model training, deployment, and scaling.
• Manage distributed workloads across GPU-enabled Kubernetes clusters and ensure efficient resource orchestration between training and inference operations.
Qualifications:
Required:
• 3+ years of relevant hands-on experience
• Experience building and maintaining machine learning pipelines
• Strong Python skills for defining and maintaining ML pipelines
• Practical experience with PyTorch (TensorFlow experience acceptable)
• Airflow for job orchestration, particularly managing resources between training and inference workloads
• Strong Kubernetes experience including managing local clusters, running different flavors, and managing custom resource definitions
• Istio networking experience in Kubernetes environments
• Experience working with MinIO object storage
• Must have hands-on experience running GPU workloads on Kubernetes
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail
• Active TS with ability to obtain and maintain SCI
Preferred:
• CENTCOM or DoD experience
• Experience with time slicing GPUs on Kubernetes
• Exposure to computer vision and/or large imagery formats such as NITF
• Publications or GitHub repos showcasing your skills
• Experience with Docker and container orchestration best practices
Company:
A niche consulting organization focused on Cloud Native, DevSecOps, and Modern Application Development for mission focused enterprises Founded in 2018, the company is headquartered in Reston, USA, with a team of 201-500 employees. The company is currently Growth Stage.