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Remote Machine Learning Ops Engineer Jobs in Florida

Senior AI Engineer

Orlando, FL · On-site +1

$114K - $150K/yr

... using machine learning and feature engineering techniques
 • Deploying AI capabilities and ... remote, we offer flexible work schedules to comprehensive benefits investing in your future and ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Masters degree in Computer Science, Machine Learning, or related discipline preferred. Experience ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering ...

Senior AI Engineer

Orlando, FL · On-site +1

$97K - $133K/yr

... using machine learning and feature engineering techniques
 • Deploying AI capabilities and ... remote, we offer flexible work schedules to comprehensive benefits investing in your future and ...

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

... to remote or defense operations. As a rapidly growing company, AMPERA merges the agility of a ... This role will focus on applying machine learning, automation, and high-performance computing to ...

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Remote Machine Learning Ops Engineer information

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:
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Senior AI Engineer

Senior AI Engineer

Lockheed Martin

Orlando, FL • On-site, Remote

$114K - $150K/yr

Full-time

Posted 7 days ago


Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 382 frontline employees who took The Breakroom Quiz

31st of 60 rated aerospace companies


Job description

Job Description:

The Lockheed Martin Artificial Intelligence Center (LAIC) is seeking a highly skilled engineer, a role that requires a unique blend of technical expertise in software engineering and AI/ML, as well as strong business acumen and communication skills. This is an exciting opportunity to lead the development and deployment of AI solutions that can drive business value and innovation across the Lockheed Martin enterprise. With a focus on collaboration, innovation, and technical expertise, this role is perfect for a seasoned professional looking to make a significant impact in the field of AI.
What you'll be doing:
• Collaborating with business stakeholders to identify opportunities and develop AI solutions
• Modeling complex business and engineering problems using machine learning and feature engineering techniques
• Deploying AI capabilities and tracking projects through to completion
• Implementing best technical practices from the fields of machine learning and software engineering
• Creating knowledge materials to disseminate best practices to other AI and data science teams
• Meeting with data science leaders to teach and discuss best practices
•  
What’s In It For You:
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.
Who are you:
 You have hands-on experience in developing and deploying AI solutions, and are able to collaborate with cross-functional teams to identify business opportunities and develop associated statistical models. You possess a combination of skills, including:
• Strong analytical and problem-solving skills
• Programming knowledge and experience with machine learning and software engineering
• Excellent communication skills to understand business needs and communicate the value of AI models
• Business focus and creative thinking to quickly cycle hypotheses through the discovery phase of projects
• Ability to work collaboratively with cross-functional teams and drive projects through to completion
What’s In It For You
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.
Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.
#LMLAIC

Qualifications:

• Bachelor's degree in Engineering, Computer Science, or a related field, with at least 5 years of professional experience. Alternatively, a Master's degree with 3 years of professional experience.
• Significant experience in applying machine learning techniques to business problems (natural language processing, deep learning, anomaly detection, reinforcement learning).
• Experience with Python, Typescript, or compiled languages like C++, Golang, etc
• Experience with developing software and software engineering best practices.
• Must be a US Citizen

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912