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Python Ml Developer Jobs in Kannapolis, NC (NOW HIRING)

... engineering, data engineering, or ML engineering. • Strong AWS experience building production systems (Lambda, Glue, SageMaker, etc.). • Expertise in Python, PySpark, and SQL. • Proven ...

Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive ... Required Skill and Experience Python, GraphQL, AWS, ReactJs FullStack Cloud Engineer to help design ...

Required Skill and Experience Python, GraphQL, AWS, ReactJs Full-Stack Cloud Engineer to help design and build an enterprise AI/ML platform portal that enables modeling teams to securely host their ...

They are seeking a Full Stack Python Developer to contribute to the design and development of an enterprise AI/ML platform, focusing on cloud-native application development using Python and AWS.

Required Skill and Experience Python, GraphQL, AWS, ReactJs Full-Stack Cloud Engineer to help design and build an enterprise AI/ML platform portal that enables modeling teams to securely host their ...

Expertise in Python and AI/ML development best practices. * Strong understanding of data engineering, feature engineering, model lifecycle management, and MLOps. * Experience with cloud platforms ...

Implement CI/CD pipelines and support DevOps and automation initiatives. * Ensure solutions follow ... Experience with GEN AI, AI/ML frameworks, and LLM integration patterns. * Experience with cloud ...

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... Python Developer to contribute to the development of cloud-native applications for an ... AI/ML platform. The role involves requirements elicitation, software design discussions, coding ...

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Python Ml Developer information

See Kannapolis, NC salary details

$13

$57

$84

How much do python ml developer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for python ml developer in Kannapolis, NC is $57.70, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $65.53 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 cities near Kannapolis, NC are hiring for Python Ml Developer jobs? Cities near Kannapolis, NC with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Kannapolis, NC as of June 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $120,012 per year, or $57.7 per hour.
Data Scientist AI/ ML

Data Scientist AI/ ML

Aptino

Charlotte, NC • On-site

Other

Posted 5 days ago


Job description

 

Role: Data Scientist AI/ ML

Location: Malvern, PA / Charlotte, NC (Hybrid – 3 days / week from office)


Required Qualifications

Build and maintain production grade AWS applications (Lambda, S3, Glue, ECS/EKS, Step Functions, Bedrock, SageMaker).

•             5+ years in software engineering, data engineering, or ML engineering.

•             Strong AWS experience building production systems (Lambda, Glue, SageMaker, etc.).

•             Expertise in Python, PySpark, and SQL.

•             Proven experience automating data pipelines and ML workflows.

•             Familiarity with traditional ML methods (regression, classification, clustering, tree based models) and EDA.