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Deep Learning Engineer Jobs in Alabama (NOW HIRING)

Core ML and Autonomy Innovation • Invent and refine custom deep learning architectures for Radar ... engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines ...

Core ML and Autonomy Innovation · Invent and refine custom deep learning architectures for Radar ... engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines ...

Core ML and Autonomy Innovation · Invent and refine custom deep learning architectures for Radar ... engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines ...

Core ML and Autonomy Innovation • Invent and refine custom deep learning architectures for Radar ... engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

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Deep Learning Engineer information

See Alabama salary details

$34.4K

$105K

$173.6K

How much do deep learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for deep learning engineer in Alabama is $105,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.
Infographic showing various Deep Learning Engineer job openings in Alabama as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,018 per year, or $50.5 per hour.

Senior Machine Learning Engineer

Odyssey Systems Consulting Group, Ltd.

Huntsville, AL • On-site, Remote

$103K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Key responsibilities

  • Design, build, and deploy advanced machine learning systems that support scalable, secure, and high-impact AI capabilities.

  • Develop and maintain enterprise CI/CD pipelines, model evaluation tooling, and automated deployment pipelines for ML models.

  • Build backend microservices to support AI-enabled applications, including deep learning inference and image processing.


Job description

Position Summary

The Odyssey Technical Center has an exciting new opportunity for a Solution Architect to lead Odyssey's AI and Autonomy technical domains. We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy advanced ML systems that power scalable, secure, and high-impact AI capabilities across the enterprise. The ideal candidate has deep experience in ML architecture, MLOps, backend microservices, and cloud-native technologies. This role will be instrumental in shaping our AI platform, accelerating model development, and delivering vetted concepts and solutions that support both internal teams and enterprise-level applications. This role owns the cross-cutting technical charter and operating model for AI and Autonomy and supports growth and development of the Technical Center and of the larger Odyssey Technical community. This position can be in Huntsville, AL, Lincoln, MA, or REMOTE. 

Responsibilities

Duties include, but are not limited to: 

  • Architect, deploy, and maintain secure ML systems including gateways, authorization frameworks, and scalable model endpoints. 
  • Build self-service tooling, templates, and automation to accelerate agentic AI and model development workflows. 
  • Develop and maintain enterprise CI/CD pipelines for ML services, model deployment, and package distribution. 
  • Create robust model evaluation tooling enabling repeatable, versioned model selection and experiment tracking. 
  • Design and deliver computer vision systems for product detection, dataset generation, and image-based search capabilities. 
  • Implement automated validation, conversion, and cost-optimized deployment pipelines for ML models. 
  • Build backend microservices to support deep learning inference, image augmentation, and a variety of AI-enabled applications. 
  • Partner cross-functionally with engineering, research, and product teams to translate requirements into scalable ML solutions. 
  • Ensure reliability, observability, and security across deployed GenAI endpoints and ML infrastructure. 
Qualifications

Citizenship: Must be a US citizen

Minimum Required Qualifications 

Clearance: Ability to Acquire Secret Clearance 

Education: Bachelor of Science, Engineering or Computer Science 

Years of Experience: 5+ 

Certifications: N/A 

Preferred Qualifications 

Clearance: Ability to Acquire Top Secret Clearance 

Education: Master of Science, Systems Engineering 

Years of experience: 7+ 

Certifications: N/A 

Technical Skills 

  • Bachelor's degree in Computer Science, Engineering, or related technical field. 
  • 5+ years of experience in Machine Learning Engineering, MLOps, AI Systems Engineering, or similar roles. 
  • Proven experience architecting secure ML platforms, gateways, or authorization systems for enterprise environments. 
  • Expertise developing and training models and systems using Python, PyTorch, and OpenCV. 
  • Strong experience with cloud-based ML ecosystems such as AWS SageMaker, Lambda, S3, or equivalent. 
  • Hands-on experience building CI/CD pipelines using tools such as GitLab and containerization tools such as Docker and Kubernetes. 
  • Experience with ML lifecycle management frameworks such as MLflow, ClearML, or Databricks. 
  • Demonstrated ability to create reusable model deployment templates, automated validation tooling, and scalable inference APIs. 
  • Familiarity with distributed systems and messaging tools like Apache Kafka and RabbitMQ. 
  • Proficiency with backend development using standard languages such as Python, C#, C++, Java, and SQL. 

Interpersonal Skills 

  • Strong written and verbal communication skills 
  • Ability to develop and present technical briefings and recommendations 
  • Ability to explain technical concepts to audiences at different levels 
  • Ability to work effectively within Integrated Product Teams (IPT) 
  • Strong analytical and problem-solving skills 
  • Ability to collaborate with Government, military, and contractor personnel 

Additional Information 

Location: Huntsville, AL, Lincoln, MA, or REMOTE 

Travel: 25% 

Remote, Onsite, or Hybrid: Onsite or Remote

#LI-MP1

Company Overview

Odyssey is a world-class technical, engineering, and integration company serving the warfighting ecosystem with airborne integration, ISR, C2, and warfighter readiness capabilities. Odyssey meets the military's operational needs by integrating layered defense systems from equipment, technology, and services to data, information, and business operations. We streamline defense acquisition and sustainment, engineering the technical battlefield with domain-specific proficiency to ensure lethality. Odyssey is dedicated to excellent contract execution, peak organizational performance, and fostering a workplace built on employee care.

Odyssey is proud to live out our core values of commitment, ambition, and respect in our work and communities through OdysseyCares, a philanthropic group focused on giving back through direct donations, an employer match program, and volunteering events.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Please Note:

Final compensation for this position will be determined by various factors such as the Federal Government contract labor categories and contract wage rates, relevant work experience, specific skills and competencies, geographic location, education, and certifications.

This position is filled through continuous recruitment and will remain open until a sufficient pool of applications has been received.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, Tricare supplement, short-term disability, long-term disability, 401(k) match, flexible spending accounts, health savings accounts, employee assistance program, learning and development benefit, paid time off, and holidays.Odyssey Benefits

Employment Type: FULL_TIME