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Machine Learning Ai Developer Jobs in Georgia (NOW HIRING)

Experience working with AI platforms, advanced language models, machine learning, deep learning, automation systems, scripting, and smart workflow solutions. * Strong familiarity with DevOps, ...

Experience working with AI platforms, advanced language models, machine learning, deep learning, automation systems, scripting, and smart workflow solutions. * Strong familiarity with DevOps, ...

Machine Learning Lead Engineer

Morrow, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Machine Learning Lead Engineer

Marietta, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Machine Learning Lead Engineer

Lake City, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Machine Learning Lead Engineer

Chamblee, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Machine Learning Lead Engineer

Redan, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

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Machine Learning Ai Developer information

How much do machine learning AI developers make?

Machine Learning AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries. Many positions also require proficiency in programming languages like Python and experience with frameworks such as TensorFlow or PyTorch.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and often involve managing large teams or strategic projects.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What engineers make $500,000?

Senior machine learning and AI engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on business outcomes.

Which 3 jobs will survive AI?

For a Machine Learning AI Developer, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and AI system trainers. These jobs involve tasks that are difficult to automate fully and often require domain expertise, critical thinking, and ethical judgment. Continuous learning and staying updated with AI tools and frameworks are essential for long-term career resilience.
What cities in Georgia are hiring for Machine Learning Ai Developer jobs? Cities in Georgia with the most Machine Learning Ai Developer job openings:
    Machine Learning / AI Engineer

    Machine Learning / AI Engineer

    KellyMitchell Group

    Atlanta, GA

    $65 - $75/hr

    Other

    Medical, Dental, Vision, Retirement

    Posted 6 days ago


    Job description

    Job Summary
    Our client is seeking a Machine Learning / AI Engineer to design, build, and operate production-grade ML systems that drive real business impact with our client. In this role, you will own the full model lifecycle-from problem framing and data engineering through training, deployment, and ongoing monitoring-while collaborating closely with product, data engineering, and software teams.
    You will be expected to communicate complex trade-offs clearly to both technical and non-technical stakeholders and champion responsible AI practices across the organization.
    Core Responsibilities
    • Partner with stakeholders to frame business problems as ML/AI use cases, define success metrics, and identify required data
    • Build and iterate on models using classification, regression, ranking, clustering, anomaly detection, and NLP approaches
    • Perform feature engineering, dataset creation, labeling strategies, and model evaluation with scientific rigor
    • Implement model interpretability, bias assessment, and responsible AI techniques where applicable
    • Build production-grade ML services and pipelines (batch + real-time), ensuring performance, reliability, and maintainability
    • Deploy models to cloud environments using CI/CD and infrastructure-as-code best practices
    • Implement monitoring for data drift, model drift, latency, throughput, cost, and model quality
    • Maintain versioning for datasets, features, models, and experiments to ensure repeatability and governance
    • Collaborate with data engineering to create robust data pipelines and ensure data quality
    • Integrate ML models into applications through APIs, event streams, or workflow orchestration
    • Document architecture, operational runbooks, and model cards; participate in design reviews and knowledge sharing
    Required Skills/Experience (Must-Haves)
    • 4+ years building and integrating APIs (FastAPI / Flask) and 3rd-party API integrations
    • 3+ years (Mid) / 5+ years (Senior) shipping ML systems into production-not just notebooks
    • Strong Python skills and hands-on experience with ML libraries: scikit-learn, PyTorch, TensorFlow, XGBoost
    • Data processing and analytics with Pandas, NumPy, SQL, and Spark
    • Solid ML fundamentals: bias/variance trade-offs, evaluation metrics, cross-validation, feature engineering, error analysis
    • Containerization with Docker and CI/CD pipeline management
    • Version control with Git / GitHub / GitLab
    • Strong SQL skills (SQL Server or Oracle)
    • Scripting in Python, Bash, and/or PowerShell
    • Ability to communicate trade-offs and results clearly to both technical and non-technical stakeholders
    • Experience documenting architecture, model cards, and operational runbooks
    • Cross-functional collaboration in Agile / DevOps environments
    Preferred Skills/Experience (Nice-to-Haves)
    • Experience with workflow automation tools and orchestration platforms
    • Background in highly regulated or financial services environments
    • Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
    • Knowledge of Disaster Recovery / Business Continuity Planning processes
    Key Competencies & Behaviors
    • Ownership and Accountability
    • Collaborative Communication
    • Scientific and Responsible Decision-Making
    Work Environment
    • Location: Atlanta, GA
    • Collaborative, cross-functional environment spanning data engineering, software, and product teams
    • Fast-paced financial services setting with emphasis on ML governance and responsible AI
    Compensation & Benefits
    • Pay Range: The approximate pay range for this position is between $65.00 and $75.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
    • Medical, Dental, & Vision Insurance Plans
    • Employee-Owned Profit Sharing (ESOP)
    • 401K offered
    About KellyMitchell
    At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
    Marketing Disclosure
    By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy