AI ML Engineer Visa Sponsorship Jobs in Alabama
Alabama's AI/ML engineering opportunities are concentrated in Huntsville's defense and aerospace sector, with employers like Leidos, Northrop Grumman, and the University of Alabama in Huntsville driving demand. Birmingham's growing tech and healthcare analytics scene adds further hiring activity. International candidates seeking visa sponsorship will find the most opportunities with large federal contractors and research institutions across the state.
Find AI ML Engineer JobsOverview
Showing 5 of 58+ AI ML Engineer Jobs in Alabama with Visa Sponsorship
See all 58+ AI ML Engineer Jobs in Alabama with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer Jobs in Alabama with Visa Sponsorship.
Get Access To All JobsTitle: Data Scientist III
Client: Alabama Power
Location: Birmingham, AL
Contract: 3 Years
Experience: 10–15 Years
Job Summary
We are seeking an experienced Data Scientist III to lead advanced analytics, machine learning, predictive modeling, and data-driven decision support initiatives.
The ideal candidate will have deep expertise in Python, machine learning, statistical analysis, SQL, data visualization, big data technologies, and model deployment, along with the ability to translate complex analytical findings into actionable business recommendations.
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and actionable insights.
- Develop and deploy advanced machine learning and predictive models.
- Apply deep learning, ensemble methods, neural networks, and other advanced analytical techniques.
- Perform feature engineering and model optimization.
- Conduct statistical analysis, hypothesis testing, and validation.
- Design and analyze A/B tests and experiments.
- Develop effective dashboards and data visualizations using Power BI, Tableau, Python, or similar tools.
- Partner with data engineering and IT teams to integrate data from multiple sources, data lakes, and data warehouses.
- Deploy machine learning models into production environments.
- Support real-time analytics and data-driven business applications.
- Develop and optimize algorithms for complex business and operational problems.
- Ensure appropriate data privacy, security, ethics, and regulatory compliance.
- Collaborate with engineers, analysts, business leaders, and subject matter experts.
- Mentor junior data scientists and provide technical leadership.
- Help define data science strategy, standards, and technology roadmaps.
- Evaluate emerging AI, machine learning, and analytics technologies.
Required Qualifications
- 10–15 years of data science, advanced analytics, machine learning, or related experience.
- Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or another quantitative discipline.
- Advanced proficiency with Python, R, Julia, or similar analytical programming languages.
- Expert knowledge of machine learning algorithms and predictive modeling techniques.
- Strong SQL and database experience.
- Experience deploying machine learning models into production.
- Strong statistical modeling and analytical skills.
- Experience working with large and complex datasets.
- Strong problem-solving and critical-thinking capabilities.
- Excellent written and verbal communication skills.
- Ability to communicate complex technical findings to technical and non-technical stakeholders.
Preferred Qualifications
- Experience with Power BI, Tableau, Matplotlib, or similar visualization tools.
- Experience with big data and distributed computing technologies such as Spark or Hadoop.
- Deep learning and neural network experience.
- Experience with cloud-based analytics and machine learning platforms.
- Experience leading data science projects or mentoring technical teams.
- Strong understanding of data ethics, privacy, governance, and compliance.
- Experience developing enterprise AI or machine learning solutions.
Key Skills
Data Science | Machine Learning | Artificial Intelligence | Predictive Modeling | Python | R | SQL | Deep Learning | Neural Networks | Statistical Analysis | Power BI | Tableau | Spark | Hadoop | Big Data | A/B Testing | Model Deployment | Data Visualization | Data Ethics | Advanced Analytics
Title: Data Scientist III
Client: Alabama Power
Location: Birmingham, AL
Contract: 3 Years
Experience: 10–15 Years
Job Summary
We are seeking an experienced Data Scientist III to lead advanced analytics, machine learning, predictive modeling, and data-driven decision support initiatives.
The ideal candidate will have deep expertise in Python, machine learning, statistical analysis, SQL, data visualization, big data technologies, and model deployment, along with the ability to translate complex analytical findings into actionable business recommendations.
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and actionable insights.
- Develop and deploy advanced machine learning and predictive models.
- Apply deep learning, ensemble methods, neural networks, and other advanced analytical techniques.
- Perform feature engineering and model optimization.
- Conduct statistical analysis, hypothesis testing, and validation.
- Design and analyze A/B tests and experiments.
- Develop effective dashboards and data visualizations using Power BI, Tableau, Python, or similar tools.
- Partner with data engineering and IT teams to integrate data from multiple sources, data lakes, and data warehouses.
- Deploy machine learning models into production environments.
- Support real-time analytics and data-driven business applications.
- Develop and optimize algorithms for complex business and operational problems.
- Ensure appropriate data privacy, security, ethics, and regulatory compliance.
- Collaborate with engineers, analysts, business leaders, and subject matter experts.
- Mentor junior data scientists and provide technical leadership.
- Help define data science strategy, standards, and technology roadmaps.
- Evaluate emerging AI, machine learning, and analytics technologies.
Required Qualifications
- 10–15 years of data science, advanced analytics, machine learning, or related experience.
- Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or another quantitative discipline.
- Advanced proficiency with Python, R, Julia, or similar analytical programming languages.
- Expert knowledge of machine learning algorithms and predictive modeling techniques.
- Strong SQL and database experience.
- Experience deploying machine learning models into production.
- Strong statistical modeling and analytical skills.
- Experience working with large and complex datasets.
- Strong problem-solving and critical-thinking capabilities.
- Excellent written and verbal communication skills.
- Ability to communicate complex technical findings to technical and non-technical stakeholders.
Preferred Qualifications
- Experience with Power BI, Tableau, Matplotlib, or similar visualization tools.
- Experience with big data and distributed computing technologies such as Spark or Hadoop.
- Deep learning and neural network experience.
- Experience with cloud-based analytics and machine learning platforms.
- Experience leading data science projects or mentoring technical teams.
- Strong understanding of data ethics, privacy, governance, and compliance.
- Experience developing enterprise AI or machine learning solutions.
Key Skills
Data Science | Machine Learning | Artificial Intelligence | Predictive Modeling | Python | R | SQL | Deep Learning | Neural Networks | Statistical Analysis | Power BI | Tableau | Spark | Hadoop | Big Data | A/B Testing | Model Deployment | Data Visualization | Data Ethics | Advanced Analytics
AI ML Engineer Job Roles in Alabama
See all 58+ AI ML Engineer Jobs in Alabama
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search AI ML Engineer Jobs in AlabamaAI ML Engineer Jobs in Alabama: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Alabama?
Large federal contractors and defense firms in Huntsville are the most active sponsors, including Leidos, Northrop Grumman, SAIC, and Boeing. The University of Alabama system and UAB also sponsor H-1B visa workers for research-focused AI and machine learning roles. In Birmingham, healthcare technology firms and financial services companies occasionally sponsor for senior ML engineering positions.
Which visa types are most common for AI ML engineer roles in Alabama?
The H-1B is the most common visa for AI/ML engineers in Alabama, as these roles qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may pursue the O-1A. Those already authorized through OPT or STEM OPT extension can work while employers initiate H-1B sponsorship through the annual lottery.
Which cities in Alabama have the most AI ML engineer sponsorship jobs?
Huntsville leads the state by a significant margin, driven by its dense concentration of defense contractors and federal agencies including NASA's Marshall Space Flight Center. Birmingham is the second most active market, with demand coming from UAB's research programs, regional banks, and healthcare systems. Tuscaloosa and Auburn have smaller but growing pipelines connected to their university research departments.
How to find ai ml engineer visa sponsorship jobs in Alabama?
Migrate Mate filters AI/ML engineer roles in Alabama specifically by visa sponsorship availability, saving you from applying to positions where sponsorship isn't offered. Because Huntsville's defense sector dominates hiring, filtering by employer type can help you identify which federal contractors are actively filing H-1B petitions. Migrate Mate's job board is built for international candidates, so every listing is screened for sponsorship relevance.
Are there state-specific considerations for AI ML engineers seeking sponsorship in Alabama?
Huntsville's defense industry creates a unique factor: many AI/ML roles with federal contractors require security clearances, and non-U.S. citizens typically cannot hold the clearances needed for classified projects. This limits sponsorship opportunities at some of the state's largest employers. Focus on roles explicitly marked as unclassified or on employers with a track record of sponsoring international hires for non-clearance ML positions.
What is the prevailing wage for sponsored ai ml engineer jobs in Alabama?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.