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Ai Algorithm Engineer Jobs in Alabama (NOW HIRING)

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AI Engineer

Birmingham, AL · On-site

$100 - $150/hr

Develop and train ML models and optimize AI algorithms. * Develop prototypes and validate solutions through fast experimentation. * Partner with product and engineering partners to ideate, design ...

Camgian Corporation

Senior AI Engineer

Huntsville, AL · On-site

$100 - $130/hr

Camgian is looking to expand its development organization with the addition of a Senior AI Engineer ... Lead a team of engineers in algorithm/model design and development * Provide mentorship and ...

Camgian Corporation

Senior AI Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Camgian is looking to expand its development organization with the addition of a Senior AI Engineer ... Lead a team of engineers in algorithm/model design and development * Provide mentorship and ...

Camgian Corporation

Senior AI Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Camgian is looking to expand its development organization with the addition of a Senior AI Engineer ... Lead a team of engineers in algorithm/model design and development * Provide mentorship and ...

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Ai Algorithm Engineer information

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

Is an AI Algorithm Engineer still in demand?

AI Algorithm Engineers are currently in high demand due to the rapid growth of artificial intelligence applications across industries such as technology, healthcare, and finance. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow are highly valued, and the role often requires staying updated with the latest research and tools. Employment prospects remain strong as organizations continue to invest in AI innovation and automation.

What is the salary of AI Algorithm Engineer?

The salary of an AI Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher compensation, often exceeding $180,000.

What are popular job titles related to Ai Algorithm Engineer jobs in Alabama?

For Ai Algorithm Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Ai Algorithm Engineer jobs in Alabama look for?

The top searched job categories for Ai Algorithm Engineer jobs in Alabama are:

What cities in Alabama are hiring for Ai Algorithm Engineer jobs?

Cities in Alabama with the most Ai Algorithm Engineer job openings:

Ai Algorithm Engineer jobs near you

Radar Algorithm Developer

Huntsville, AL • On-site

IERUS Technologies Inc
Manufacturing • 51 - 200 employees
Learn more about IERUS Technologies Incexternal

Full-time

Re-posted 6 days ago

Job description

Job Summary:
IERUS Technologies Inc specializes in technology research, testing, and implementation with a focus on advanced machine learning and artificial intelligence. The Radar Algorithm Developer will contribute to weapon systems engineering and the application of ML/AI techniques in various domains.
Responsibilities:
• Participate in projects that address weapon systems engineering and the application of advanced machine learning (ML) and artificial intelligence (AI) techniques.
• Apply agile development fundamentals across our corporate portfolio to accelerate technology development timelines.
• Seek to apply advanced machine-learning (ML) and artificial intelligence (AI) to relevant domains of expertise.
Qualifications:
Required:
• Must be a U.S. citizen
• Active Secret security clearance, preferred TS clearance and TS/SCI opportunities
• Experience implementing machine learning solutions for engineering and scientific domains. Should be familiar with related implementation tasks such as feature selection, regression, classification, sensor-fusion, time-series analysis, missing data, optimization, recommender systems, etc.
• Mastery of rapid prototyping in at least 1 (preferably 2 or more) of the following scripting languages: Python, R, MATLAB, etc.
• Experience implementing solutions using at least 2 of the following supervised methods: SVM/SVR, fuzzy systems (TSK, etc.), tree ensemble methods (Bayesian, bagging, boosting, etc.), NNs (supervised), others
• Experience applying advanced math and statistics, especially optimization and related linear algebra techniques
Preferred:
• PhD in Electrical Engineering, Computer Science, Computer Engineering or related field
• Proficiency in at least 1 hard programming language (C/C++, Java, etc.)
• Experience implementing solutions using any of the following unsupervised methods: Clustering (k-nearest neighbor, DBSCAN, Dirichlet, etc.), autocorrelation, Deep learning methods (DNNs, CNNs, RNNs, LSTMs, etc.) and packages (TensorFlow, Theano, Torch, Caffe, Neon, etc.), GMMs, HMMs, etc.
• Experience with Government funding agencies and programs (e.g. DARPA, IARPA, AFRL, SBIR/STTR, RiF, etc.)
• Publication and/or patent history of applying original solutions to relevant types of problems
• Experience implementing solutions using signal processing algorithms and packages
• TS/SCI clearance
• Engineering experience in the defense industry
• Image processing experience
• Radar system analysis experience
• RF Electronics experience
• Antenna design and analysis experience
• Software Defined Radio (SDR) experience
• Analysis tool-building experience
• Target acquisition, tracking and/or algorithm development
• Advanced modeling skills and optimization
• Knowledge of domain specific RADAR principles, including signal processing, RCS analysis, target acquisition; target tracking, resource management, discrimination, and battle manager interfaces
• Experience with GMD/BMDS systems, BMDS radar systems, radar simulation tests and or radar metrics
Company:
IERUS, at its core, is a high-end technology firm. Founded in 2008, the company is headquartered in Huntsville, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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