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Deep Learning Engineer Jobs in Alabama (NOW HIRING)

SynergisticIT

Machine Learning Engineer

Birmingham, AL · On-site

Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques. * Work with an international top-notch engineering team with full commitment on ...

Varsity Tutors

Machine Learning Tutor

Tuscaloosa, AL · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Birmingham, AL · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Montgomery, AL · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Huntsville, AL · Remote

$40/hr

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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$34.4K

$105K

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How much do deep learning engineer jobs pay per year?

As of May 28, 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 job?

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 are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

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.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

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.
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Deep Learning Engineer jobs near you

Machine Learning Engineer

V-CENTRIX-US LLC

Huntsville, AL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title: Machine Learning Engineer TS/SCI
Status: Full-Time (Hybrid set up after 6 months)
Location: Huntsville, Alabama

Ideal Candidate
ideal candidate is a senior Machine Learning Engineer with an active TS/SCI clearance, deep Python expertise, and proven experience deploying machine learning solutions into production environments. They are highly skilled in data pipeline engineering, CI/CD workflows, containerized deployments, and integrating ML systems within larger secure architectures. They thrive in mission-driven environments, balancing strong software engineering fundamentals with hands-on machine learning implementation and operational support.

Position Overview

A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This is an onsite role supporting mission-critical projects involving large-scale data processing, machine learning model deployment, and system integration.
This role is ideal for someone who thrives in highly secure environments and has experience taking machine learning solutions from concept through production deployment.

Key Responsibilities

  • Design and integrate machine learning systems with broader software platforms and infrastructure
  • Build and optimize data pipelines that support machine learning workflows
  • Transition machine learning prototypes into production-ready solutions
  • Develop deployment pipelines for machine learning models
  • Monitor model performance and address model drift, failures, and rollback scenarios
  • Conduct testing, experimentation, and documentation of model performance
  • Write clean, scalable, and maintainable code primarily in Python
  • Collaborate with technical teams to ensure machine learning solutions align with overall architecture
  • Support CI/CD workflows and GitOps practices

Technology Environment

  • Python
  • Docker
  • Jupyter Notebooks
  • PostgreSQL
  • GitLab
  • GitHub
  • SQL/NoSQL databases
  • Linux and Windows environments

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 programming experience in Python
  • Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
  • Experience with SQL and NoSQL databases
  • Knowledge of CI/CD pipelines and Agile development methodologies
  • Understanding of software design principles and system integration
  • Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding

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 in 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

Apply