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Machine Learning Engineer Opt Jobs in Lecanto, FL

All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Lecanto, FL

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 Aug 20, 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 is a machine learning engineer?

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 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 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 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 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:

Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in Lecanto, FL as of June 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $118,136 per year, or $56.8 per hour.

Senior Process Engineer - Injection Molding

Faurecia Services Groupe

Spring Hill, FL • On-site

$80 - $110/hr

Other

Posted 5 days ago

Job description

Forvia, a sustainable mobility technology leader

We pioneer technology for mobility experience that matter to people.

Your mission, roles and responsibilities

Position Summary:

The main role of the Sr. Process Engineer is to verify quality, safety, and equipment uptime in their designated area. They provide engineering support to the assigned UAP and assists maintenance in supporting the plant through trouble shooting / problem solving methodologies to eliminate down time and decrease quality defects to the customer.

Responsibilities:

  • Ensure that series production meets customer requirements
  • Support to the continuous improvement process
  • Ensure the plant readiness to launch successful new programs
  • Manage and report key ME indicators

Series Production:

  • Procurement of manufacturing equipment under consideration of demandedsecurity, quality and environmental protection and their preservation
  • Equipment and tooling follow-up
  • Support the engineering change management process
  • Update manufacturing routines and work instructions
  • Keep processes (machines, tools, procedures) at best possible level in compliance with Health, Safety and Environmental regulations and Quality, Cost & Delivery (QCD)
  • Build the engineering budget and the plant CAPEX; and ensure their application
  • Monitor capacity utilization
  • Plan, monitor and coordinate the work of external companies
  • Create and introduce procedures regarding the tasks of his field of responsibility
  • Support problem solving initiatives
  • Participate to the plant PDP

Plant readiness to launch new programs:

  • Participate in the definition of the production process and selection of machines and equipment
  • Define plant layout to support new products launches
  • Lead the installation process of new machines and equipment
  • Support production in the start of new processes to ensure a successful SOP (initial samples, run @ rate, work instructions)

People Management:

  • Staff, train coach, assess and develop the plant manufacturing engineering team (direct or dotted line)
  • Support and train other networks/functions
  • Participation in the management of the expertise network (knowledge capitalization)
  • Comply and reinforce the Code of Management and Code of Ethics as it applies within the perimeter of Human Resources
  • To uphold and reinforce the Code of Ethics and the Code of Management as it applies within Human Resources
  • Comply with and reinforce the appropriate Code of Ethics as it applies to the confidentiality of employee’s personal data and the protection of HR related documents
  • To consult ISO 14001 and 45001 Management System Responsibilities and Authorities please refer to: NAO-C-LSE-5802 Authority and responsibility matrix for HSE Management system in the NAO FIS library

Reporting:

  • Manage ME key indicators (TRS: change over, cycle time, reliability…)
  • Other
  • Assist with additional tasks as assigned by company
  • Follow values established within Being Faurecia. Act with an entrepreneurialmindset as well as with autonomy and accountability
  • Act in accordance with the behaviors as established in Faurecia’s Code of Ethics and Code of Management
  • Commitment to the highest ethical standards and willingness to adhere to Faurecia’s Code of Ethics and Code of Management
Your profile and competencies to succeed

Knowledge / Skills:

  • Trained in Faurecia Excellence System and Program Management System
  • Basic financial skills (costing, budget, investment)
  • Leadership skills and international mindset
  • Ability to interface with other functions - Networking capabilities.
  • Fluent in English

Minimum Qualifications:

The ideal candidate will have the following education/experience:

  • At least 5 years of experience in production area, including one position in Manufacturing Engineering
  • Minimum education level: Bachelor’s Degree in Engineering
What we can do for you
  • At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
  • We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
  • We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
  • We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
  • We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
  • Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.
Why join us

FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.

With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.

In June 2022, we became the first global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.

As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

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