1

Bayesian Networks Jobs in Alabama (NOW HIRING)

Bayesian Networks information

What is the difference between Bayesian Networks vs Data Analysts?

AspectBayesian NetworksData Analysts
Required CredentialsStatistics, Data Science, Computer Science degrees; certifications in probabilistic modelingStatistics, Data Science, Business Analytics degrees; certifications in data analysis tools
Work EnvironmentResearch, modeling, and algorithm development in tech or research firmsData interpretation, reporting, and visualization across various industries
Industry UsageUsed for probabilistic reasoning, decision support, and machine learningUsed for data interpretation, reporting, and business insights

Bayesian Networks focus on probabilistic modeling and decision-making algorithms, often requiring advanced statistical knowledge. Data Analysts primarily interpret and visualize data to inform business decisions. While both roles involve data, Bayesian Networks are more technical and model-driven, whereas Data Analysts focus on data interpretation and reporting.

What are Bayesian networks?

Bayesian Networks are probabilistic graphical models that represent a set of variables and their conditional dependencies using a directed acyclic graph. They are used to model uncertainty in complex systems by encoding relationships between variables and allowing for efficient inference and reasoning. These networks are widely applied in fields such as machine learning, diagnostics, decision support, and bioinformatics to help predict outcomes and understand causal relationships.

What are the key skills and qualifications needed to thrive as a Bayesian networks specialist, and why are they important?

To thrive as a Bayesian Networks Specialist, you need a strong background in statistics, probability theory, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, and experience using specialized libraries like pgmpy or bnlearn, are typically required. Strong analytical thinking, problem-solving ability, and effective communication skills set standout professionals apart in this role. These competencies are crucial for designing, implementing, and interpreting Bayesian models that inform critical decision-making in complex domains.

What are some common challenges faced by professionals working with Bayesian networks in real-world projects?

Professionals working with Bayesian Networks often encounter challenges such as handling incomplete or noisy data, defining accurate conditional dependencies, and ensuring computational efficiency for large or complex networks. Collaboration with domain experts is crucial to correctly structure the network and validate assumptions. Additionally, integrating Bayesian models with existing data systems and effectively communicating probabilistic results to non-technical stakeholders are important aspects of the role.
What cities in Alabama are hiring for Bayesian Networks jobs? Cities in Alabama with the most Bayesian Networks job openings:
Infographic showing various Bayesian Networks job openings in Alabama as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

1994 Cleared AI/ML Specialist (Top Secret) with Security Clearance

All Points Logistics LLC

Huntsville, AL • On-site

$16 - $21.25/hr

Other

Re-posted 23 days ago


Job description

*US CITIZENSHIP REQUIRED*
*ACTIVE US DOD TOP SECRET CLEARANCE REQUIRED*
*CONTINGENT UPON CONTRACT AWARD* DESCRIPTION OF POSITION/DUTIES:
*** This is a contingent hire based upon contract award. No Staffing Agencies or third parties *** The All Points Systems Engineering and Integration Team is seeking a US DoD Top Secret Cleared Artificial Intelligence/Machine Learning (AI/ML) Specialist to support the design, guidance, and implementation of AI/ML-enabled capabilities for missile defense mission areas. The successful candidate will contribute across multiple phases of the mission lifecycle, supporting analytical, modeling, simulation, and decision-support activities related to detection, tracking, discrimination, fire control, and engagement functions within a complex system-of-systems environment. This position is contingent upon contract award and continued program funding. Employment offers may be extended prior to award; however, start dates and work assignments are subject to contractual authorization. The AI/ML Specialist will collaborate with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques. Responsibilities include developing and curating training and evaluation datasets from diverse sources, defining data management and labeling strategies, and designing scalable training, testing, and validation infrastructure consistent with program constraints and security requirements. The AI/ML Specialist will collaborate with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques. Responsibilities include developing and curating training and evaluation datasets from diverse sources, defining data management and labeling strategies, and designing scalable training, testing, and validation infrastructure consistent with program constraints and security requirements.
The candidate will be responsible for guiding the selection, development, and integration of AI/ML models into existing analytical, modeling, and simulation frameworks, ensuring alignment with system architectures, interfaces, and performance objectives. This includes supporting model evaluation, uncertainty characterization, robustness assessments, and lifecycle considerations such as retraining, configuration management, and traceability. The AI/ML Specialist will also contribute to the establishment of best practices, standards, and governance for AI/ML usage, including documentation, verification and validation approaches, and coordination with broader digital engineering and systems engineering processes. Emphasis will be placed on explainability, testability, and integration within mission-relevant workflows, while maintaining compliance with applicable policies, security requirements, and program constraints. The AI/ML Specialist will provide guidance and subject matter expertise to the Digital Ecosystem and Platforms team for the SE&I Team's AI adoption strategy. Key tasks include identification, evaluation, and integration of Large Language Model(s), as well as use case specific AI tooling such as SysML modeling and Integrated Development Environment (IDE) plug-ins. EDUCATION: * Bachelor's degree in Engineering, Computer Science, Applied Mathematics, Physics, or related discipline; Master's degree or PhD strongly preferred YEARS OF EXPERIENCE: * 10-20 Years SKILLS/CERTIFICATIONS: Required Qualifications: * Full US Citizenship * Active, current, and fully adjudicated US Department of Defense Top Secret Clearance required * Demonstrated experience applying multiple Artificial Intelligence and/or Machine Learning techniques (e.g., artificial neural networks, Bayesian belief networks, decision trees) to complex technical or analytical problems. * Experience working with data-centric workflows, including data preparation, curation, labeling, and quality assessment for analytical or modeling purposes. * Familiarity with the full AI/ML lifecycle, including model development, training, testing, validation, and iterative improvement. * Experience collaborating with multidisciplinary teams, including systems engineering, software development, and domain subject matter experts. * Ability to translate high-level mission or system objectives into well-defined analytical or computational problem statements. * Experience documenting technical approaches, assumptions, and results in a clear and structured manner suitable for engineering and programmatic review. * Understanding of basic software engineering practices, including version control, modular design, and reproducibility. * Ability to work within established program constraints, including security, configuration management, and governance processes. Desired Qualifications: * Experience applying AI/ML techniques within complex, distributed, or system-of-systems environments. * Familiarity with modeling and simulation, digital engineering, or analytical frameworks used to support system design, assessment, or decision support. * Experience with scalable training, testing, or evaluation infrastructure, including compute resource management and automation. * Exposure to uncertainty quantification, robustness analysis, model verification and validation, or performance assessment methodologies. * Experience supporting data governance, model traceability, or lifecycle management in regulated or mission-critical environments. * Familiarity with explainable AI concepts or techniques and their application in engineering or decision-support contexts. * Experience working in government, defense, aerospace, or other highly regulated technical domains. * Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. * Experience supporting transition of analytical or AI/ML capabilities from development environments into operationally relevant workflows. * Familiarity with hardware, programming languages, scientific computing environments, and resource management tools commonly used for data analysis and modeling to include graphical processing units (GPUs), Python / MATLAB / SQL, High Performance Computing (HPC) clusters and SLURM. SECURITY CLEARANCE: * Full United States Citizenship is required. * Active, current, and fully adjudicated US DoD Top Secret Clearance with SCI eligibility is required. Unfortunately, candidates that do not have a TS Clearance are not eligible. Positions with All Points are Full-time, Direct, and we offer a full benefit package. For more information, please visit https://www.allpointsllc.com/careers/ ALL POINTS IS AN EQUAL OPPORTUNITY EMPLOYER *** This is a contingent hire based upon contract award. ***