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Machine Learning Engineer Opt Jobs in Lecanto, FL

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Machine Learning Engineer Opt information

See Lecanto, FL salary details

$28.9K

$118.1K

$177.5K

How much do machine learning engineer opt jobs pay per year?

As of Jul 9, 2026, the average yearly pay for machine learning engineer opt in Lecanto, FL is $118,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $142,200.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What cities near Lecanto, FL are hiring for Machine Learning Engineer Opt jobs? Cities near Lecanto, FL with the most Machine Learning Engineer Opt job openings:
System Engineer

System Engineer

Symbotic

Brooksville, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
Symbotic is seeking a System Engineer to support the day-to-day reliability, availability, and performance of our automated warehouse systems in a live production environment. This role is hands-on and operational in nature, aligned closely with a Maintenance Engineer or Lead Automation Technician profile. The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro-mechanical and automated systems to ensure safe, consistent system uptime. This role is not commissioning-focused, not controls-programming-heavy, and not customer-facing, but instead centered on system health, equipment reliability, and technical execution on site
What we do
The System Engineer is part of the Customer Operations organization which is responsible for leading the day-to-day operations of Symbotic's robotic material handling system. The Customer Operations organization drives operational excellence by engaging and partnering with our onsite customers to drive best-in-class quality, safety and system performance.
What you'll do
  • Monitor and maintain the health of automated systems including conveyors, lifts, robotic vehicles, motors, sensors, and PLC-controlled equipment.

  • Perform advanced electrical, mechanical, and automation troubleshooting to resolve production-impacting issues.

  • Diagnose failures across PLCs (Allen-Bradley), VFDs, AC/DC motors, servo motors, sensors, and control hardware.

  • Support and execute preventive and corrective maintenance activities on automated equipment.

  • Utilize system data, alarms, logs, and dashboards to identify fault conditions and recurring issues.

  • Document maintenance activities, repairs, and findings using CMMS systems (e.g., Maximo) and internal tools.

  • Act as a senior technical escalation point during system disruptions or downtime events.

  • Partner with on-site maintenance, operations, and technical teams to restore and stabilize system performance.

  • Provide technical guidance and on-the-job support to maintenance technicians and operators.

  • Step in to support critical on-site technical functions as needed to maintain operational continuity.

  • Ensure compliance with OSHA, LOTO, electrical safety, and Symbotic safety standards.

What you'll need
  • Bachelor's degree in Electrical Engineering, Computer Science, Software Engineering, Automation Engineering, or a related field, or equivalent hands-on experience.

  • Minimum of 1 year of hands-on experience with PLCs, preferably Allen-Bradley, focused on diagnostics and troubleshooting (not heavy programming).

  • Minimum of 1 year of experience with VFDs, including diagnosing speed, torque, and drive-related issues.

  • Minimum of 1 year of experience working with AC and DC motors.

  • Hands-on experience with automated systems such as conveyor systems, conveyor belts, vertical lifts, and motor-driven equipment.

  • Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS, robotics, servo motors, or 480V systems.

  • Working knowledge of SQL, Python, and Linux for diagnostics, log review, and system interaction.

  • Strong hands-on experience assembling, operating, maintaining, and troubleshooting robotics and electro-mechanical systems.

  • Prior experience in maintenance engineering, automation maintenance, or lead maintenance technician roles preferred.

Our Environment
  • Work is performed in an active industrial environment with high levels of automation.

  • Ability to work at heights of up to 45 feet and within confined spaces.

  • Ability to lift and/or move up to 50 pounds.

  • Exposure to varying temperatures and production conditions.

  • Must comply with all PPE, LOTO, fall protection, and electrical safety requirements.

  • Ability to work flexible hours, including off-shifts, as needed to support system uptime and recovery.

  • Valid driver's license required.

#LI-IB1
#LI-Onsite
About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $71,000.00 - $97,900.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.