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Python Ml Developer Jobs in Alpharetta, GA (NOW HIRING)

Lead AI/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud ... engineers into tech leads. Best Regards, Srinivas Email: srinivas@smartfolksinc.com

Senior AI/ML Engineer

Atlanta, GA

$100K - $138K/yr

Senior AI/ML Engineer Location: Bellevue/Seattle, WA ; Atlanta, GA, and Frisco, TX Need Local ... Python (required) * Libraries: scikit-learn, HuggingFace Transformers, RapidFuzz, jellyfish

Python Software Developer

Alpharetta, GA · On-site

$49 - $67.50/hr

Partner with engineering and AI/ML teams to integrate security into deployment pipelines and cloud ... Strong programming skills in Java or Python. Solid understanding of object-oriented design and ...

Software Programmers (Java/Python) * Java Full Stack Developers * Data Analysts & Data ... Data Science / ML / Analytics Roles * Bachelor's or Master's in CS, IT, Stats, or Engineering

Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines * Automate and ... Strong Python, Java, and/or Scala experience will be considered a plus. * Hands-on‑ experience ...

Senior AI ML Engineer

Atlanta, GA

$100K - $138K/yr

Senior AI ML Engineer Location: Mason, OH / Plano TX / Atlanta, GA / Cleveland, OH / Indianapolis ... Strong Python expertise with experience building and deploying production-grade backend systems

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Python Ml Developer information

See Alpharetta, GA salary details

$12

$57

$84

How much do python ml developer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for python ml developer in Alpharetta, GA is $57.23, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $65.00 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Alpharetta, GA? For Python Ml Developer jobs in Alpharetta, GA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Alpharetta, GA look for? The top searched job categories for Python Ml Developer jobs in Alpharetta, GA are:
What cities near Alpharetta, GA are hiring for Python Ml Developer jobs? Cities near Alpharetta, GA with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Alpharetta, GA as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $119,042 per year, or $57.2 per hour.
Python Developer

$49 - $67.50/hr

Other

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Job description

Description:

  • The Software Developer will support the Cyber Security portfolio within Cyber Data Risk & Resilience (CDRR), contributing to the design, development, and delivery of secure, scalable technology solutions.
  • This role focuses on building modern cybersecurity platforms, enhancing system architecture, and enabling secure adoption of cloud and AI-driven services.

Responsibilities:

  • Design, develop, and maintain high-quality software solutions supporting cybersecurity initiatives
  • Partner with engineering and AI/ML teams to integrate security into deployment pipelines and cloud-based AI services
  • Re-architect core components using modern design patterns to improve scalability, resiliency, and availability
  • Develop and enhance distributed systems leveraging event-driven and service-oriented architectures
  • Collaborate with global teams and stakeholders to gather requirements and deliver solutions aligned to business needs
  • Support secure development practices across CI/CD pipelines and DevOps workflows
  • Contribute to system design decisions, performance optimization, and technical problem resolution
  • Build and maintain data storage solutions across relational and non-relational systems
  • Ensure alignment with enterprise security standards and governance requirements

Required Qualifications:

  • 10+ years of experience in software development or engineering
  • Strong programming skills in Python
  • Solid understanding of object-oriented design and application architecture
  • Experience with REST services and event/message-driven architectures
  • Hands-on experience with distributed systems and messaging platforms (e.g., Apache Kafka)
  • Experience working with cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Experience with Infrastructure-as-Code tools (e.g., Terraform)
  • Strong knowledge of data structures, algorithms, and problem-solving techniques
  • Experience with SQL (PostgreSQL, MSSQL) and NoSQL databases (e.g., MongoDB)
  • Familiarity with Agile development methodologies and DevOps practices (CI/CD, SDLC)
  • Strong written and verbal communication skills.

Preferred Skills:

  • Experience with cloud-based AI services (e.g., Azure AI, AWS Bedrock, Google Vertex AI)
  • Experience implementing security controls for cloud and AI service environments
  • Familiarity with Cloud Security Posture Management (CSPM) tools (e.g., Wiz, Prisma, CloudGuard)
  • Knowledge of cloud-native security and governance tooling (e.g., Azure Policy, AWS SCP, Google Cloud Platform constraints)?Experience with scripting (Bash, PowerShell) across Linux/Windows environments
  • Exposure to web technologies (e.g., Angular, React)

Additional Skills:

  • -Strong analytical and problem-solving capabilities
  • -Ability to manage priorities in fast-paced environments with minimal supervision
  • -Effective stakeholder collaboration and communication skills
  • -Self-starter with a proactive and solution-oriented mindset