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Deep Learning Jobs in Alabama (NOW HIRING)

Leidos

Data Analyst; Mid-Level

Huntsville, AL · On-site

Knowledge of a variety of ML architectures to include classical ML techniques as well as modern deep learning (DL) architectures for supervised and unsupervised learning. * Candidate must be a ...

Leidos

Data Analyst; Mid-Level

Huntsville, AL · On-site

Knowledge of a variety of ML architectures to include classical ML techniques as well as modern deep learning (DL) architectures for supervised and unsupervised learning. * Candidate must be a ...

Blue Origin

Software & AI Engineer III

Huntsville, AL

$164.65K - $230.51K/yr

Experience with machine learning models, deep learning, and large language models * Develop and maintain robust CI/CD pipelines to automate testing and deployment, ensuring high-quality, reliable ...

Leidos

Computer Vision AI/ML Engineer

Huntsville, AL · On-site

$87.10K - $157.45K/yr

We are looking for a candidate who is interested in applying classic and deep learning computer visions algorithms from initial concept development through successful prototype field demonstrations.

Leidos

Computer Vision AI/ML Engineer

Huntsville, AL

$87.10K - $157.45K/yr

We are looking for a candidate who is interested in applying classic and deep learning computer visions algorithms from initial concept development through successful prototype field demonstrations.

Autodesk

Job Requisition ID # 26WD97132 26WD97132, Pr incipal Machine Learning Engineer, ML Platform and ... Deep experience in software architecture, distributed systems, large-scale data platforms, or ML ...

Cloudera

EDW experience - Teradata, Netezza, GreenPlum, Exadata Data Science and ML experience - (R, Python, Anaconda, Jupyter, Deep Learning Frameworks etc.) * Integration Products experience (Talend ...

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How much do deep learning jobs pay per year?

As of May 31, 2026, the average yearly pay for deep learning in Alabama is $76,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $126,000.00 per year, depending on experience, location, and employer.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

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

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are deep learning jobs?

Deep learning jobs involve developing and applying neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. These roles typically require skills in programming languages like Python, experience with frameworks like TensorFlow or PyTorch, and a strong understanding of machine learning concepts. They are common in industries such as technology, healthcare, and finance, often requiring a background in computer science or related fields.
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Deep Learning jobs near you

Senior AI Engineer (Camgian Labs)

Camgian Corporation

Huntsville, AL • On-site, Remote

$99.60K - $136.80K/yr

Full-time

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

Job description

Job Description Job Description As a Senior Artificial Intelligence Engineer for Camgian Labs, our advanced R&D and rapid prototyping team, you will lead the design and development of AI/ML-powered prototypes that push the boundaries of innovation in space and missile defense. You'll collaborate with multidisciplinary teams to pioneer novel solutions, engage directly with customers and stakeholders to translate visionary concepts to impactful technologies. This role offers the opportunity to solve complex technical challenges, mentor junior engineers, and contribute to thought leadership and proposal development activities.

Qualifications Bachelor's degree in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field. 5+ years of professional experience in AI/ML model validation and deployment. Demonstrated proficiency in algorithm development and implementation using Python or similar programming languages.

Strong mathematical background and knowledge of AI, ML, and deep learning concepts. Excellent written and verbal communication skills. Experience interfacing with customers and stakeholders in technical environments.

Proficiency with revision control systems (such as Git), including branching, merging, and managing code repositories in a team setting. Ability to work both independently and collaboratively in a team environment. Experience collaborating effectively as a member of remote or hybrid project teams.

Ability to travel up to 10% of the time within the United States to support customer engagements and technical exchanges. Eligibility to obtain or maintain a U.S. Government Security Clearance which requires U.S.

citizenship. Desired Skills Master's or PhD in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field. Experience with AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn, OpenCV).

Familiarity with tools such as NumPy, SciPy, Pandas, Matplotlib. Experience deploying AI models in cloud environments (e.g., AWS, Azure). Strong analytical skills and creative problem-solving ability.

Understanding of Agile development methodology. Experience with space domain awareness, satellite operations, or space operations. Key Responsibilities Conduct research and development of novel AI/ML concepts, algorithms, and techniques to advance space and missile defense capabilities.

Lead the design, development, and testing of scalable AI/ML software prototypes for space and missile defense using large-scale datasets. Interface with customers and stakeholders to gather mission requirements, present technical solutions, and ensure project alignment. Mentor and guide junior engineers, fostering a culture of technical excellence and collaboration.

Track project milestones and budgets, ensuring timely and quality outcomes. Support proposal-writing activities and thought leadership opportunities. Engage in continuous learning and professional development to stay at the forefront of AI/ML advancements, space domain technologies, and relevant emerging R&D trends.

Why Join Us? Work on mission-critical projects that directly impact national security. Collaborate with leading experts in AI, engineering, and data science.

Enjoy a dynamic, innovative, and inclusive team culture focused on continuous learning and experimentation. Opportunities for professional growth and technical leadership. About Camgian Camgian's mission is to deliver advanced AI/ML solutions that accelerate decision-making in high-stakes environments.

Our advanced R&D unit, Camgian Labs, is seeking a Senior AI Engineer to support the team's space and missile defense initiatives. Powered by JazzHR oKTPVzadSK

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