... machine learning and AI architecture to explore ways of using it to develop models for data ... Engineering, Data Science, Analytics, Information Technology or a similar discipline Use your ...
... machine learning and AI architecture to explore ways of using it to develop models for data ... Engineering, Data Science, Analytics, Information Technology or a similar discipline Use your ...
... machine learning and AI architecture to explore ways of using it to develop models for data ... Engineering, Data Science, Analytics, Information Technology or a similar discipline Use your ...
... machine learning and AI architecture to explore ways of using it to develop models for data ... Engineering, Data Science, Analytics, Information Technology or a similar discipline Use your ...
Senior MLOps & Generative AI Engineer - Remote
Centre, AL · On-site +1
$98K - $135K/yr
Develop and optimize CI/CD pipelines for machine learning and AI workloads across development ... Apply software engineering best practices to AI/ML systems including testing, observability ...
Senior MLOps & Generative AI Engineer - Remote
Centre, AL · On-site +1
$98K - $135K/yr
Develop and optimize CI/CD pipelines for machine learning and AI workloads across development ... Apply software engineering best practices to AI/ML systems including testing, observability ...
... that enable developers to build the future. From software to hardware our teams are shaping the ... Manage a team of Machine Learning (ML) travelers remotely and contribute and support 24/7 ...
... that enable developers to build the future. From software to hardware our teams are shaping the ... Manage a team of Machine Learning (ML) travelers remotely and contribute and support 24/7 ...
Operations Tech, Finishing
Albertville, AL · On-site
$15 - $19.25/hr
... machine speed) to acquire specified finishes called-out on engineering drawings. * Die grinding ... Active Learning - Working Experience * Quality Inspection Metrology Tools - Working Experience
Operations Tech, Finishing
Albertville, AL · On-site
$15 - $19.25/hr
... machine speed) to acquire specified finishes called-out on engineering drawings. * Die grinding ... Active Learning - Working Experience * Quality Inspection Metrology Tools - Working Experience
Machine Learning Engineer Opt information
See Fort Payne, AL salary details
$25.6K - $37.6K
1% of jobs
$37.6K - $49.6K
1% of jobs
$49.6K - $61.6K
5% of jobs
$61.6K - $73.6K
6% of jobs
$83.5K is the 25th percentile. Wages below this are outliers.
$73.6K - $85.5K
14% of jobs
$85.5K - $97.5K
14% of jobs
The median wage is $103.5K / yr.
$97.5K - $109.5K
18% of jobs
$109.5K - $121.5K
14% of jobs
$123.9K is the 75th percentile. Wages above this are outliers.
$121.5K - $133.5K
12% of jobs
$133.5K - $145.5K
11% of jobs
$145.5K - $157.4K
5% of jobs
$25.6K
$104.8K
$157.4K
How much do machine learning engineer opt jobs pay per year?
As of Jul 5, 2026, the average yearly pay for machine learning engineer opt in Fort Payne, AL is $104,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $126,100.00 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?
| Aspect | Machine Learning Engineer Opt | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related fields; certifications in ML tools | Bachelor's or Master's in CS, Statistics, or related fields; data analysis certifications |
| Work Environment | Develops, tests, and deploys ML models in production systems | Analyzes data, builds models, and provides insights for decision-making |
| Employer & Industry Usage | Tech companies, AI startups, e-commerce, finance | Research institutions, tech firms, consulting, finance |
| Common Search & Comparison | Often compared for technical skills and deployment focus | Compared 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 Fort Payne, AL are hiring for Machine Learning Engineer Opt jobs? Cities near Fort Payne, AL with the most Machine Learning Engineer Opt job openings:
Other
Posted 26 days ago
Job description
Do you have an interest in using and developing your skills in software development? Do you enjoy problem-solving and critical thinking? If so, this might be the role for you.
What you will do:
Work on specific projects to help develop technology-based solutions for data management and reporting
Work in an Agile, collaborative environment alongside members of Scalian/Customer team to define the problem and develop potential solutions
Deepen your understanding of machine learning and AI architecture to explore ways of using it to develop models for data analysis and automation
Assist with the design, coding, and testing of new features in support of the team members
Work with large amounts of data from both structured and unstructured data sources to construct data pipelines, apply transformation and cleansing rules and assess data quality
Participate in hands-on workshops to further develop your technical skills and understanding of machine learning and its capabilities
Required Knowledge, Skills and Experience
Have a degree or diploma in Computer Science or Engineering, Data Science, Analytics, Information Technology or a similar discipline
Use your Python, Java and/or R programming skills to perform analysis and develop applications
Enjoy taking an experimental approach to solving problems and challenges while leveraging your critical thinking skills
Apply your basic to intermediate knowledge in software development and UI to support the project from idea to implementation
Have an interest in AI and machine learning in the context of computer science
What you will do:
Work on specific projects to help develop technology-based solutions for data management and reporting
Work in an Agile, collaborative environment alongside members of Scalian/Customer team to define the problem and develop potential solutions
Deepen your understanding of machine learning and AI architecture to explore ways of using it to develop models for data analysis and automation
Assist with the design, coding, and testing of new features in support of the team members
Work with large amounts of data from both structured and unstructured data sources to construct data pipelines, apply transformation and cleansing rules and assess data quality
Participate in hands-on workshops to further develop your technical skills and understanding of machine learning and its capabilities
Required Knowledge, Skills and Experience
Have a degree or diploma in Computer Science or Engineering, Data Science, Analytics, Information Technology or a similar discipline
Use your Python, Java and/or R programming skills to perform analysis and develop applications
Enjoy taking an experimental approach to solving problems and challenges while leveraging your critical thinking skills
Apply your basic to intermediate knowledge in software development and UI to support the project from idea to implementation
Have an interest in AI and machine learning in the context of computer science