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Senior Machine Learning Engineer Jobs in Cullman, AL

Ongoing learning and development * Stable, growing company with long-term career opportunities ... Collaborative team environment with experienced machining professionals Are you passionate about ...

Ongoing learning and development * Stable, growing company with long-term career opportunities ... Collaborative team environment with experienced machining professionals Are you passionate about ...

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Senior Machine Learning Engineer information

See Cullman, AL salary details

$52.5K

$111.7K

$161.9K

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

As of Jul 14, 2026, the average yearly pay for senior machine learning engineer in Cullman, AL is $111,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $126,600.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Cullman, AL? The most popular types of Machine Learning Engineer jobs in Cullman, AL are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Cullman, AL? For Senior Machine Learning Engineer jobs in Cullman, AL, the most frequently searched job titles are:
What cities near Cullman, AL are hiring for Senior Machine Learning Engineer jobs? Cities near Cullman, AL with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Cullman, AL as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,655 per year, or $53.7 per hour.

Full-time

Retirement

Posted 4 days ago


Job description

We're Hiring Mold Makers!
Looking for your next opportunity in manufacturing? Join the team at SyBridge Technologies!
We're currently hiring experienced Mold Makers to join our growing team, located at any of our Cullman facility. If you enjoy working with precision equipment, producing high-quality components, and being part of a collaborative manufacturing environment, we want to hear from you.
Why Join SyBridge?
  • Competitive hourly wage, based on skills and experience
  • Benefits
  • Overtime
  • Weekend overtime opportunities
  • 401k plan
  • Great work-life balance
  • Career growth and advancement opportunities
  • Ongoing learning and development
  • Stable, growing company with long-term career opportunities
  • Collaborative team environment with experienced machining professionals

Are you passionate about creating high-quality products and contributing to the product development process? SyBridge Technologies is seeking a talented Mold Maker to join our dynamic team!
Your responsibilities will include:
  • Perform final inspection, complete work documentation, maintain material identification, and move work piece
  • Fit and assemble a mold which includes, but is not limited to: transfer and locate holes; fit and size mold components; check cooling and heating circuits; install mold components in the spotting press; spot the mold; final-inspect mold; install ejector system components; install runner system components; check assembled mold; move work piece; and, complete work documentation
  • Repair molds used to mass produce plastic or metal components or products
  • Perform work-in-progress measuring or checking using specialized and precision tools and equipment
  • Make all appropriate personnel aware of any potential tooling problems, issues or questions
  • Maintain a clean workspace and organization of materials
  • Maintain continuity among work shifts by documenting and communicating actions, irregularities, and continuing needs using provided paper and/or electronic logs
  • Devise and detail a plan for the mold-building process including; verify features of the mold components, develop and organize a mold build plan, perform mold-building related calculations, assemble and verify tooling stock materials, produce a detailed sketch of mold components, build tooling aids for mold-building process, lay out template(s), and produce templates
  • Read and interpret complex engineering drawings and work-process documentation
  • Use the overhead crane to transport molds / mold components through the shop and set up molds in presses (weight up to 50,000lbs)
  • Use the forklift to transport molds / mold components throughout the shop and prepare them for tryouts (weight up to 5,000lbs)
  • At all times, adhere to customer standards on all tool designs and the internal lean manufacturing guidelines
  • Responsible for maintaining safe operations by keeping work area clean and organized and by adhering to safety procedures and regulations
  • Participate in required meetings and training, as requested

What You Bring
  • High school diploma or equivalent is required
  • Ten (10) years of related experience as a mold maker
  • Ability to perform under pressure and work independently
  • Ability to prioritize tasks and meet deadlines as required
  • Ability to ensure quality standards are met
  • Strong attention to detail is required
  • Strong leadership, interpersonal, communication and relationship building skills
  • Proficient in time management and communication skills
  • Red Seal is an asset

Physical Requirements
  • Ability to stand and walk for extended periods throughout the workday
  • Ability to occasionally lift up to 30 lbs.
  • Ability to climb stairs and work in a manufacturing environment
  • Comfortable working around varying temperatures, noise levels, dust, and other manufacturing conditions
  • Ability to wear required personal protective equipment (PPE), including safety glasses, hearing protection, gloves, and other protective equipment as required

Apply today and build your future with SyBridge Technologies!
About SyBridge Technologies
SyBridge Technologies is redefining precision manufacturing through technology-enabled design, prototyping, and advanced manufacturing solutions. As North America's largest injection molding tooling platform and a leading digital manufacturer, we combine cutting-edge manufacturing expertise with advanced AI-driven technology to help customers bring innovative products to market faster.
Backed by Crestview Partners, SyBridge has grown through strategic acquisitions into a global organization with 18 locations across North America, Europe, and Asia. Our people are at the heart of our success, and we're committed to creating an environment where skilled professionals can build rewarding, long-term careers.
Equity, Diversity, and Inclusion Statement
In accordance with Accessibility for Ontarians with Disabilities Act (AODA), 2005 and the Ontario Human Rights Code, and the Equal Employment Opportunity Employment Commission, SyBridge Technologies Inc., will provide accommodations throughout the recruitment selection and/or assessment process to applicants with disabilities. If selected to participate in the recruitment, selection and/or assessment process, please inform SyBridge Technologies Inc., Human Resources staff of the nature of the accommodation(s) that you may require in respect of any materials or processes used to ensure your accommodation and inclusion.