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Product Manager Machine Learning Jobs in Alabama

Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while partnering with other teams

Overview Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS ... Manage the transition from prototype to production, including setting up model deployment pipelines ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You collaborate with engineers, data scientists, and product teams to define problems, test ...

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Product Manager Machine Learning information

See Alabama salary details

$46.7K

$144.5K

$178.6K

How much do product manager machine learning jobs pay per year?

As of Jun 22, 2026, the average yearly pay for product manager machine learning in Alabama is $144,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $178,600.00 per year, depending on experience, location, and employer.

How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What does a Product Manager for Machine Learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

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

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.
What are popular job titles related to Product Manager Machine Learning jobs in Alabama? For Product Manager Machine Learning jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Alabama look for? The top searched job categories for Product Manager Machine Learning jobs in Alabama are:
What cities in Alabama are hiring for Product Manager Machine Learning jobs? Cities in Alabama with the most Product Manager Machine Learning job openings:
Infographic showing various Product Manager Machine Learning job openings in Alabama as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $144,483 per year, or $69.5 per hour.
Machine Learning Engineer

Other

Posted 2 days ago


Job description

Machine Learning Engineer

Job Type: Full-Time (Hybrid set-up after 6 months) Location: Huntsville, AL Mandatory: Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding

About the Role A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This opportunity is ideal for someone who excels in highly secure environments and has experience taking machine learning solutions from concept through full-scale production deployment. The role focuses on large-scale data processing, machine learning deployment, and enterprise system integration for mission-critical initiatives. This position requires working onsite during the first 6 months to support onboarding, team integration, and project ramp-up. After the initial 6-month period, the role transitions to a hybrid schedule.

Key Responsibilities

  • Design, build, and integrate machine learning solutions into broader software systems and infrastructure
  • Conduct testing, experimentation, validation, and performance documentation
  • Write clean, scalable, and maintainable Python code
  • Collaborate with engineering teams to ensure machine learning solutions align with system architecture
  • Develop and optimize data pipelines that support machine learning workflows
  • Convert machine learning prototypes into scalable, production-ready applications
  • Create deployment pipelines for machine learning models
  • Monitor model performance and resolve issues related to drift, failures, and rollback scenarios
  • Support CI/CD workflows and GitOps practices
  • Work across secure Linux and Windows environments

Technology Environment

  • Python
  • Docker
  • Jupyter Notebooks
  • PostgreSQL
  • GitLab
  • GitHub
  • SQL/NoSQL Databases
  • Linux
  • Windows

Required Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline
  • Minimum of 12 years of overall professional experience
  • 1-3 years of hands-on experience working with machine learning frameworks
  • Strong Python programming experience
  • Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
  • Experience working with SQL and NoSQL databases
  • Knowledge of CI/CD pipelines and Agile development methodologies
  • Strong understanding of software design principles and system integration

Preferred Qualifications

  • Master's degree in a related field with 12 years of experience OR
  • Bachelor's degree in a related field with 17 years of experience
  • Experience working with petabyte-scale datasets
  • Background supporting multi-source intelligence analytics
  • Experience deploying, monitoring, and scaling machine learning models in production environments

Key Skills Required

  • Machine Learning Model Deployment
  • Python Development
  • Data Pipeline Engineering
  • CI/CD Implementation
  • Cloud & Container Technologies
  • System Integration
  • Database Management

Abode TechZone logo

About Abode TechZone

Sourced by ZipRecruiter

Abode is fast-growing staffing corporation, business growth depends on putting the right people in place — the professional talent that sets your organization apart from the competition. Abode’s vision is to provide best ever IT’s Staff Solutions services with an effective strategy which can address market fluctuations in key areas, such as time, cost, risk, flexibility, control, and expertise. We target to connect our partners with the best professional talent you need.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2019

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