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

Lorven Technologies

Python Developer AI/ML

Charlotte, NC · On-site

$49 - $67.75/hr

Python Developer - AI/ML Location: Charlotte, NC or Irving, TX Contract Interview Process: Final round requires in person interview We are seeking a highly skilled Python Developer with hands on ...

RAPID EAGLE INC

Python Developer

Charlotte, NC

$55 - $75/hr

Python Developer Onsite Role Charlotte NC Key Responsibilities • Build and maintain large-scale ... implement ML training and inference workflows using PyTorch and integrate them into production ...

RAPID EAGLE INC

Python Developer

Charlotte, NC

$55 - $75/hr

Python Developer Onsite Role Charlotte NC Key Responsibilities • Build and maintain large-scale ... implement ML training and inference workflows using PyTorch and integrate them into production ...

SANS

Lead AI/ML Engineer

Charlotte, NC · Hybrid

$100.10K - $131.90K/yr

Python * Model development, training, tuning, and deployment * Extensive handson experience with: * Large Language Models (LLMs) * Small Language Models (SMLs) * Generative AI and reasoning models

Marencor

ML Engineer

Charlotte, NC · On-site

Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.) * Experienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, PyTorch, scikit-learn ...

INFT Solutions Inc

AI/ML Lead

Charlotte, NC

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 ...

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How much do python ml developer jobs pay per hour?

As of May 29, 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 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 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 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 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 Kannapolis, NC? For Python Ml Developer jobs in Kannapolis, NC, the most frequently searched job titles are:
What cities near Kannapolis, NC are hiring for Python Ml Developer jobs? Cities near Kannapolis, NC with the most Python Ml Developer job openings:
Python Ml Developer jobs near you

Technology Lead | OpenSystem | Python - OpenSystem

Scalence L.L.C.

Charlotte, NC • On-site

$136.70K - $168K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Scalence L.L.C. is seeking an AI ML Developer to join their team in Charlotte, NC. The role requires proficiency in Python and machine learning, where the candidate will work on API creation and various AI/ML tasks.
Responsibilities:
• 6 years overall experience, including 4 years in AI/ML
• Proficiency in Python, ML, NLP, and text data analysis
• Hands-on experience with API creation, RAG, Vector databases, LLM prompt engineering, LLM evaluation
• Familiarity with MLOps tools and practices, including Monitoring and evaluation tools like LangSmith LLM deployment libraries like LiteLLM, LLM Guardrails, and more CICD, model versioning, and model deployment best practices
• Knowledge of or willingness to learn Kubernetes
Qualifications:
Required:
• 6 years overall experience, including 4 years in AI/ML
• Proficiency in Python, ML, NLP, and text data analysis
• Hands-on experience with API creation, RAG, Vector databases, LLM prompt engineering, LLM evaluation
• Familiarity with MLOps tools and practices, including Monitoring and evaluation tools like LangSmith LLM deployment libraries like LiteLLM, LLM Guardrails, and more CICD, model versioning, and model deployment best practices
• Knowledge of or willingness to learn Kubernetes
• Minimum years of experience: 6+ years
• Education: Bachelor's or Master of Engineering
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, New Jersey, US, , with a team of 501-1000 employees. The company is currently Late Stage.

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