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Associate Artificial Intelligence Machine Learning Jobs in Alabama

Senior Data Scientist

Huntsville, AL · On-site

$162K - $219K/yr

  • Medical

  • Life

  • Retirement

Employ artificial intelligence, machine learning, or knowledge-based approaches to solve complex data problems * Evaluate the performance of analytical models, validate results, and update models as ...

Senior Data Scientist

Huntsville, AL · On-site

$162K - $219K/yr

  • Medical

  • Life

  • Retirement

Employ artificial intelligence, machine learning, or knowledge-based approaches to solve complex data problems * Evaluate the performance of analytical models, validate results, and update models as ...

Senior Machine Learning Engineer

Birmingham, AL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Artificial Intelligence (AI), Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language)Bachelor's Degree or equivalent experience | Required Work Arrangement To foster ...

Senior Software Architect

Montgomery, AL · On-site

$128K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research, prototype, and evaluate emerging technologies, including artificial intelligence/machine learning (AI/ML), low-code/no-code platforms, and AI-assisted software development tools. * Mentor ...

Senior Software Architect

Montgomery, AL · On-site +1

$128K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research, prototype, and evaluate emerging technologies, including artificial intelligence/machine learning (AI/ML), low-code/no-code platforms, and AI-assisted software development tools. * Mentor ...

Senior Software Architect

Montgomery, AL · On-site

$128K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research, prototype, and evaluate emerging technologies, including artificial intelligence/machine learning (AI/ML), low-code/no-code platforms, and AI-assisted software development tools. * Mentor ...

Lead AI and Data Science Engineer II

Huntsville, AL · On-site

$101K - $133K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and ...

Lead AI and Data Science Engineer II

Birmingham, AL · On-site

$96K - $126K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and ...

Showing results 21-40

Associate Artificial Intelligence Machine Learning information

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Alabama?

The most popular types of Artificial Intelligence Machine Learning jobs in Alabama are:

What are popular job titles related to Associate Artificial Intelligence Machine Learning jobs in Alabama?

For Associate Artificial Intelligence Machine Learning jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Associate Artificial Intelligence Machine Learning jobs in Alabama look for?

The top searched job categories for Associate Artificial Intelligence Machine Learning jobs in Alabama are:

What cities in Alabama are hiring for Associate Artificial Intelligence Machine Learning jobs?

Cities in Alabama with the most Associate Artificial Intelligence Machine Learning job openings:

Data Scientist/Analytics Engineer

Torch Technologies, Inc.

Huntsville, AL • On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
Torch Technologies is a 100% employee-owned company providing superior research, development, and engineering services to the Federal Government. They are seeking a Data Scientist / Analytics Engineer to develop advanced data processing and analytics capabilities supporting the Missile Defense Agency's Ground Test Program.
Responsibilities:
• Design, develop, and maintain automated data ingestion, staging, transformation, and processing workflows supporting Missile Defense System test and performance analysis.
• Build and maintain scalable business intelligence solutions, dashboards, and visual analytics products using Tableau and similar visualization platforms.
• Integrate and process data from diverse sources, including relational databases, structured and semi-structured files, and emerging data repositories.
• Collaborate with analysts, engineers, and subject matter experts to develop analytical solutions that improve operational insight and decision-making.
• Develop and optimize ETL/ELT processes using Python, SQL, Alteryx, and related technologies.
• Support the integration of artificial intelligence and machine learning capabilities into analytics platforms and visualization environments.
• Apply software development best practices, including testing, documentation, configuration management, and code quality standards.
• Work within cross-functional engineering teams to deliver scalable, maintainable, and mission-focused data solutions.
• Support continuous improvement initiatives associated with Digital Engineering and data modernization efforts.
Qualifications:
Required:
• U.S. Citizenship.
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical discipline.
• 5+ years of professional experience in data engineering, data analytics, business intelligence, or a related technical field.
• Ability to obtain and maintain a Secret DoD Security Clearance.
• Demonstrated experience developing automated data processing and workflow solutions.
• Strong proficiency with Tableau or comparable business intelligence and visualization platforms.
• Experience with relational databases and data storage technologies, including SQL Server, PostgreSQL, SQLite, and modern file-based formats such as Parquet.
• Proficiency with Python and common data science libraries and frameworks.
• Experience developing data pipelines, ETL processes, and automation solutions using Python, Alteryx, or similar tools.
• Strong analytical, problem-solving, organizational, and communication skills.
• Ability to work effectively in a collaborative team environment and communicate technical concepts to technical and non-technical stakeholders.
Preferred:
• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Analytics, or a related discipline.
• Experience supporting Department of Defense (DoD), Missile Defense Agency (MDA), or other government engineering and test programs.
• Experience implementing artificial intelligence, machine learning, or generative AI solutions within operational environments.
• Experience with containerization and deployment technologies such as Docker and Kubernetes.
• Knowledge of cloud-based data and analytics architectures.
• Experience working within Agile software development environments.
• Exceptional written and verbal communication skills.
• Demonstrated ability to engage effectively with technical and executive stakeholders.
Company:
Founded in October 2002, Torch is a 100% employee-owned business headquartered in Huntsville, Alabama. Founded in 2002, the company is headquartered in Huntsville, USA, with a team of 501-1000 employees. The company is currently Late Stage.