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Machine Learning Engineer Associate Jobs in Alabama

As an A/AI Machine Learning Engineer, you will: Engage with technical users to identify opportunities to drive use cases for AI/ML Create innovative solutions to complex analysis requirements Develop ...

As an A/AI Machine Learning Engineer, you will: Engage with technical users to identify opportunities to drive use cases for AI/ML Create innovative solutions to complex analysis requirements Develop ...

Job Requisition ID # 26WD97132 26WD97132, Pr incipal Machine Learning Engineer, ML Platform and Systems Architecture French translation to follow!/Traduction francaise a suivre! Position Overview The ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Engineer Schedule: Full-time Shift: Day Job Travel: Yes, 10 % of the Time Minimum Clearance Required: Interim Secret Clearance Level Must Be Able to Obtain: Secret Potential for ...

Machine Learning Engineer Schedule:Full-time Shift:Day Job Travel:Yes, 10 % of the Time Minimum Clearance Required:Interim Secret Clearance Level Must Be Able to Obtain:Secret Potential for Remote ...

Machine Learning Engineer Schedule:Full-time Shift:Day Job Travel:Yes, 10 % of the Time Minimum Clearance Required:Interim Secret Clearance Level Must Be Able to Obtain:Secret Potential for Remote ...

AI/ML Engineer

Huntsville, AL · On-site

$89K - $157K/yr

As an A/AI Machine Learning Engineer, you will: • Engage with technical users to identify opportunities to drive use cases for AI/ML • Create innovative solutions to complex analysis requirements ...

AI/ML Engineer

Huntsville, AL · On-site

$89K - $157K/yr

As an A/AI Machine Learning Engineer, you will: • Engage with technical users to identify opportunities to drive use cases for AI/ML • Create innovative solutions to complex analysis requirements ...

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Machine Learning Engineer Associate information

See Alabama salary details

$37.6K

$74.9K

$119.6K

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

As of Jun 18, 2026, the average yearly pay for machine learning engineer associate in Alabama is $74,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $86,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Alabama? The most popular types of Machine Learning Engineer jobs in Alabama are:
What cities in Alabama are hiring for Machine Learning Engineer Associate jobs? Cities in Alabama with the most Machine Learning Engineer Associate job openings:
Sr. Data Scientist/Machine Learning Engineer - HSV, AL

Sr. Data Scientist/Machine Learning Engineer - HSV, AL

Davidson Technologies, Inc.

Huntsville, AL • On-site

$180K - $206K/yr

Full-time

Posted 9 days ago


Job description

Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation.
Davidson is seeking a Senior Data Scientist/Machine Learning Engineer in Huntsville, Alabama to design, build, and deploy ML systems to control and optimize VLF transmissions. Using your experience with applied ML, real-time systems, and physical domain modeling, you will work closely with RF engineers, software engineers, and end customers to develop an intelligent Al/ML stack that monitors environmental conditions, predicts signal propagation impacts, and supports dynamic adjustments of transmission parameters to maintain signal stability and performance. You will take models from concept through production deployment (MLOps) and ensure they operate reliably in mission-critical environments.
*Contingent Upon Award*
Job Responsibilities:
  • Develop ML models to leverage weather and environmental data feeds for disaster event prediction
  • Build predictive models to improve preventative maintenance capabilities
  • Help to integrate models into decisions systems that optimize transmission system operations and performance
  • Translate model outputs into actionable, explainable recommendations
  • Collaborate with engineering team (RF, Systems, Software) to deploy models into real-time production systems
  • End-to-end ML lifecycle management using MLOps best practices
  • Communicate complex technical concepts clearly to engineers and customers
  • Contribute to system architecture decisions for scalable/reliable Al/ML solutions

Job Requirements:
  • Bachelor's degree or higher in Data Science, Computer Science, Engineering, Physics or related field
  • 8+ years of experience in applied data science or machine learning roles
  • Strong foundation in machine learning and statistical modeling
  • Demonstrable experience translating stakeholder requirements into technical ML strategies that deliver tangible customer value
  • Hands-on experience deploying ML models into production environments
  • Practical experience with MLOps (model pipelines, monitoring, reproducibility)
  • Must be a U.S. citizen

Preferred Qualifications:
  • Familiarity with RF systems, signal propagation, or electromagnetic modeling
  • Familiarity with surrogate modeling of physics-based systems, such as weather
  • Familiarity with predictive maintenance (CBM+)
  • Experience integrating ML into real-time systems

Clearance:
  • Currently holds an Active DoD Secret Clearance or is able to obtain a Secret Clearance