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Deep Learning Engineer Jobs in Alabama (NOW HIRING)

Feature Engineering * Data Visualization Secondary Skills * TensorFlow / PyTorch * Power BI / Tableau * NLP * Deep Learning * Azure / AWS / GCP * Spark * Jupyter Notebook * Git * MLOps Educational ...

Bachelor of Science/Engineering degree in computer science, computer engineering, software ... Lead the development of AI solutions using machine learning, deep learning, natural language ...

$150K - $185K/yr

  • PTO

Sales Engineering Seniority Level: Mid-Senior level At Cloudera, we empower people to transform ... Data Science and ML experience - (R, Python, Deep Learning Frameworks etc.) * Integration Products ...

Positioned at the leading edge of artificial intelligence and deep learning, NVIDIA drives ... As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro ...

AI / ML Engineer

Huntsville, AL ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... modern deep learning architectures. * Build LLM-enabled applications and retrieval-augmented ... Classic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive ...

Senior Data Scientist

Birmingham, AL ยท On-site +1

$130K - $170K/yr

Machine Learning * Deep Learning * Statistics * Data Modeling * Pandas * NumPy * Scikit-learn ... Expertise in SQL and Python programming. * Experience working with cloud platforms and big data ...

Computer Vision AI/ML Engineer

Huntsville, AL ยท On-site

$87.10 - $157.45/hr

Serve as an AI/ML Engineer with a specialty in Computer Vision for the Contested Autonomy and ... We are looking for a candidate who is interested in applying classic and deep learning computer ...

Software & AI Engineer III

Huntsville, AL ยท On-site

$164.65 - $230.51/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Full Stack Engineer, you will be at the forefront of software development, building robust ... Experience with machine learning models, deep learning, and large language models* Develop and ...

Learning Analyst

Montgomery, AL ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The AUTLC builds, delivers, and manages resources and programming to grow and enrich the ... Develop deep knowledge of the unique teaching and learning requirements of the AUTLC and AU ...

AI / ML Engineer

Huntsville, AL

$85K - $199K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... modern deep learning architectures. * Build LLM-enabled applications and retrieval-augmented ... Classic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive ...

New

Showing results 41-60

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 Aug 18, 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 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $105,018 per year, or $50.5 per hour.

Data Scientist

Vultus Inc

Montevallo, AL โ€ข On-site

Full-time

Posted 6 days ago


Job description

Data Scientist

Experience

3–6 Years

Job Type

Full-Time

Job Summary

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and provide data-driven insights that support business decisions. The ideal candidate should have strong experience in machine learning, statistical analysis, Python, SQL, and data visualization.

Key Responsibilities
  • Collect, clean, preprocess, and analyze structured and unstructured data.
  • Develop and deploy machine learning and statistical models.
  • Perform exploratory data analysis and identify meaningful patterns and trends.
  • Build predictive and classification models using appropriate algorithms.
  • Evaluate model performance and optimize models for accuracy and scalability.
  • Work with stakeholders to understand business requirements and translate them into analytical solutions.
  • Create dashboards, reports, and visualizations to communicate insights effectively.
  • Perform feature engineering, model validation, and hyperparameter tuning.
  • Collaborate with Data Engineers, Software Engineers, and Business Teams.
  • Monitor deployed models and improve performance based on new data.
  • Document methodologies, analysis, models, and results.
Primary Skills
  • Python
  • SQL
  • Machine Learning
  • Statistical Analysis
  • Pandas & NumPy
  • Scikit-learn
  • Data Cleaning & Preprocessing
  • Predictive Modeling
  • Feature Engineering
  • Data Visualization
Secondary Skills
  • TensorFlow / PyTorch
  • Power BI / Tableau
  • NLP
  • Deep Learning
  • Azure / AWS / GCP
  • Spark
  • Jupyter Notebook
  • Git
  • MLOps
Educational Qualification
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Preferred Experience
  • 3–6 years of experience in Data Science, Machine Learning, or a related field.
  • Strong understanding of statistics and machine learning algorithms.
  • Experience working with large datasets and databases.
  • Good problem-solving and analytical skills.
  • Strong communication and presentation skills.
Salary

₹8 LPA – ₹20 LPA, depending on experience and skill set.