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Machine Learning Defense Jobs in Florida (NOW HIRING)

... Azure Machine Learning, and in implementing models into operational workflows. Education: * A ... of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity ...

... of Defense in advancing mission-critical capabilities for a global data processing platform. This platform leverages Machine Learning, modern cloud and containerized technologies to ingest, process ...

Ability to design and deploy workflows, ETL pipelines, and machine learning models on platforms ... Experience working as an embedded technical expert for defense, government, or private-sector ...

Data Scientist, Mid

Homestead, FL · On-site

$77K - $176K/yr

Ability to design and deploy workflows, ETL pipelines, and machine learning models on platforms ... Experience working as an embedded technical expert for defense, government, or private-sector ...

$103K - $181K/yr

... machine learning models and automate large-scale simulation pipelines. Your focus will be on ... defense, security, intelligence, infrastructure, and environmental. We promote a culture of ...

Showing results 41-60

Machine Learning Defense information

What are the key skills and qualifications needed to thrive as a Machine Learning Defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in Machine Learning Defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in Florida? For Machine Learning Defense jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Florida look for? The top searched job categories for Machine Learning Defense jobs in Florida are:
What cities in Florida are hiring for Machine Learning Defense jobs? Cities in Florida with the most Machine Learning Defense job openings:

Other

Posted 26 days ago


Job description

Description

Fincantieri Marine Systems North America, Inc. (FMSNA) is hiring a Machine Shop Manager in our Jacksonville, FL location. This position is ideal for a hands-on leader who thrives in precision-driven environments, with a focus on excellence, development, and safety to deliver high-quality ship repair outcomes.


Fincantieri Marine Systems North America

Fincantieri Marine Systems North America, Inc. (FMSNA) is a subsidiary of Fincantieri S.p.A. with a mission to build, repair, and sustain maritime vessels that proudly supply, service, and defend our nation and the world. Fincantieri offers rewarding careers to more than 20,000 employees across 4 continents within 20 shipyards. We are a world leader and shipbuilder of choice, constantly evolving to meet global megatrends in tourism, energy, and defense through innovative and competitive maritime solutions. 


Position Summary 

The Machine Shop Manager is responsible for leading and managing all machine shop operations in support of ship repair, overhaul, maintenance, and fabrication for critical components for the U.S. Navy, U.S. Coast Guard, government, and commercial vessels. This role leads a team of skilled machine shop technicians responsible for rebuilding custom parts, restoring damaged components, and developing practical repair solutions that preserve the integrity of ship repair projects. The Machine Shop Manager directly manages a team of approximately 10 to 20 employees, including supervisors and shop personnel.


Domestic and international travel may be required.


Essential Functions 

  • Monitor critical ship repairs through precision repair, restoration, reverse engineering, and custom fabrication solutions to return damaged or obsolete equipment to operational service, ensuring quality and system integrity
  • Collaborate with key stakeholders to support enterprise-wide ship repair planning, budget objectives, and vessel delivery timelines.
  • Manage ship repair schedules, project milestones, productivity, and quality standards to ensure work complies with engineering drawings, technical specifications, and regulatory requirements
  • Oversee equipment maintenance, preventive maintenance programs, and calibration activities while monitoring labor, material usage, and budget performance
  • Other duties as assigned

Requirements

  • Must be knowledgeable on propulsion, shaft, rudder, Z drive, coolers, pumps, valves, and motors
  • Must be able to read and interpret blueprints, engineering drawings, and technical specifications 
  • Must be able to apply strategic planning, risk management, and knowledge of maritime regulations and compliance requirements 
  • Must have strong Microsoft Office Suite computer skills 
  • Must have strong organizational, time management, written and verbal communication skills
  • Must have ability to maintain confidentiality and a professional demeanor
  • Must adhere to ISO and OSHA policies established by FMSNA and have high values for safety awareness
  • Perform supervisory responsibilities in accordance with Company policies, procedures, and applicable laws, including interviewing, hiring, and training employees; planning, assigning, and directing work; evaluating performance; employee recognition and discipline; resolving employee concerns; and developing employees with the skills, competencies, and values needed to achieve Company goals.

Education and Experience 

  • Journeyman, Technical or Associate degree, or equivalent combination of education, training, and experience
  • 2 years of machine shop experience required, shipyard or ship repair environment preferred

Competencies

Fincantieri's core competencies reflect our values and key behavioral expectations for all employees: 

  • Open Mindset: Identify and solve problems, embrace change, and seek continuous learning.
  • Strategic Leadership: Build trust, unity, and accountability while working toward shared goals.
  • Accomplishment: Take ownership, deliver results, and ensure customer satisfaction.
  • Social Connection: Collaborate, communicate, and value diversity and inclusion. 
  • Leadership Excellence: Fincantieri leaders lead by example, empower, and inspire success.

Physical Demands and Work Environment
While performing job duties, the employee is frequently required to sit, stand or walk; use hands and arms to grasp, handle, manipulate, or feel objects and controls; stoop, bend, kneel, and crouch; and speak or hear. The employee may lift and/or move up to 35lbs regularly and up to 50lbs occasionally. Work is performed both inside and outside in varying environmental conditions, including heat, cold, wet, humid, dry, and arid climates.  The employee may also be required to work in confined spaces and at varying heights. PPE is required to minimize noise exposure, moving machinery, weather elements, and other potential hazards, including the risk of injury. 


Posting Disclaimer 

This job description provides a summary of the work environment, knowledge, skill, ability, and physical demands required to successfully perform the essential functions of this position and is not intended to be an exhaustive list of responsibilities. Other duties may apply. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.


EEO Statement

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.Â