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Ai Algorithm Engineer Jobs in Atlanta, GA (NOW HIRING)

Diverse Lynx

AI/ML Engineer

Alpharetta, GA

AI/ML Engineer We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy ... Strong understanding of machine learning algorithms, NLP, deep learning, statistics, and model ...

NICE

AI Research Engineer

Atlanta, GA · On-site

AI Research Engineers are experts in the value and insights from structured data derived from ... AI Data Specialists are experts in the data, not the underlying AI algorithms and applications (i.e.

E-Solutions

AI/ML Engineer

Alpharetta, GA

AI/ML Engineer Location : Alpharetta GA (Onsite) Duration: Long term Mandatory Skills: * Python ... Understanding of ML algorithms * Preferred Skills: * Exposure to data preprocessing tools (Pandas ...

Sumeru

Senior AI/ML Engineer

Atlanta, GA

$100K - $138K/yr

Build candidate blocking pipelines using phonetic algorithms (Soundex, Double Metaphone), token ... AI engineering * At least 1 year of experience in entity resolution, record linkage, or ...

Ag

Lead AI Solutions Systems Engineer

Atlanta, GA

The Lead AI Solutions Systems Engineer is the lead technical architect and solution designer in the ... Support the technical maturity ramp-up of the team, raising the engineering and algorithmic ...

DataAnnotation

SDLC Engineer - AI Trainer

Atlanta, GA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

South Fulton, GA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Further

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

SENIOR AI ENGINEER We are hiring a Senior AI Engineer to lead the development of our cloud-based ... Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.

JLL

Lead AI Engineer

Atlanta, GA

$98K - $129K/yr

Experience in AI agent orchestration, planning algorithms, and decision-making frameworks ... Prompt engineering and AI safety practices Uses best practices and knowledge of AI/ML methodologies ...

PTR Global

AI/ ML Engineer

Alpharetta, GA · On-site

$85 - $90/hr

Partner with engineering and AI/ML teams to integrate security into deployment pipelines and cloud ... Strong knowledge of data structures, algorithms, and problem-solving techniques. * Experience with ...

SynergisticIT

ML/AI Engineer

Atlanta, GA

... algorithms, and an understanding of programming concepts. But if you're finding the job market ... Data Science and AI with Python, Scikit-Learn, Gen AI, NLP, and ML deployment * Data Analytics and ...

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Showing results 1-20

All JobsAi Algorithm Engineer JobsAi Algorithm Engineer Jobs in Atlanta, GA

Ai Algorithm Engineer information

See Atlanta, GA salary details

$57.2K

$107.4K

$195.2K

How much do ai algorithm engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for ai algorithm engineer in Atlanta, GA is $107,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $127,400.00 per year, depending on experience, location, and employer.

How much do AI automation engineers make?

AI automation engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to have higher salaries.

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.

What are the key skills and qualifications needed to thrive as an AI Algorithm Engineer, and why are they important?

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 does an AI algorithm engineer do?

An AI algorithm engineer designs, develops, and optimizes algorithms that enable machines to perform tasks such as learning, reasoning, and decision-making. They work with machine learning models, data processing, and programming languages like Python or C++, often using tools like TensorFlow or PyTorch, to create effective AI solutions. Strong analytical skills and knowledge of data structures are essential for this role.

What engineers make $500,000?

Senior AI algorithm engineers with extensive experience, advanced skills in machine learning, deep learning, and data science, and often working in high-demand industries or at leading tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a highly senior or specialized role such as an AI research director, chief AI officer, or senior machine learning executive, often in large tech companies or financial institutions. These positions usually require extensive experience, advanced skills in machine learning, deep learning, and data science, and may include leadership responsibilities and strategic decision-making.

What are AI Algorithm Engineers?

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.
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Ai Algorithm Engineer jobs near you
AI & ML engineer

AI & ML engineer

R2 Technologies Corporation

Atlanta, GA • On-site

Full-time

Posted 25 days ago

Job description

Overview:
Role: AI & ML engineer
Location: Atlanta, GA
#Role is on-site
#10+ years profile usc/Gc only
Depends on experience
Objectives of this role
  • Design and develop machine learning algorithms and deep learning applications and systems for [Company X]
  • Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
  • Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications
  • Identify differences in data distribution that could potentially affect model performance in real-world applications
  • Ensure algorithms generate accurate user recommendations
  • Stay up to date with developments in the machine learning industry
Responsibilities
  • Study and transform data science prototypes and apply appropriate machine learning algorithms and tools
  • Run machine learning tests and experiments, and document findings and results
  • Train, retrain, and monitor machine learning systems and models as needed
  • Construct optimized data pipelines to feed machine learning models
  • Consult with managers to determine and refine machine learning objectives
  • Extend existing machine learning libraries and frameworks
Skills and qualifications
  • Impeccable analytical and problem-solving skills
  • Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
  • In-depth knowledge of machine learning frameworks, like Keras or PyTorch
  • Familiarity with data structures, data modeling, and software architecture
  • Excellent time management and organizational skills
  • Desire to learn
Preferred qualifications
  • Proven experience as a machine learning engineer or similar role
  • Familiarity with Python, Java, and R
  • Excellent communication and collaboration skills
  • Innovative mind with a passion for continuous learning
  • General knowledge of building machine learning systems
  • Bachelor's degree (or equivalent) in computer science, mathematics, or related field

Skills:
AI / ML,Machine Learning

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