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Remote Python Trainer Jobs in North Carolina (NOW HIRING)

Provide detailed scientific input and content to support the development and training of AI models ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

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Remote Python Trainer information

What is the difference between Remote Python Trainer vs Remote Data Scientist?

AspectRemote Python TrainerRemote Data Scientist
Required CredentialsPython certifications, teaching experienceStatistics, programming, Python, data analysis certifications
Work EnvironmentOnline training platforms, educational institutionsResearch organizations, tech companies, consulting firms
Employer & Industry UsageEducational, e-learning, corporate trainingTech, finance, healthcare, research
Search & Comparison IntentLearning, teaching, curriculum developmentData analysis, modeling, machine learning

While both roles require Python knowledge, Remote Python Trainers focus on teaching and curriculum development, often in educational or corporate settings. Remote Data Scientists analyze data, build models, and derive insights, typically working in research or tech industries. The roles overlap in Python skills but differ in their primary focus and work environment.

What are the most commonly searched types of Python Trainer jobs in North Carolina? The most popular types of Python Trainer jobs in North Carolina are:
What job categories do people searching Remote Python Trainer jobs in North Carolina look for? The top searched job categories for Remote Python Trainer jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Python Trainer jobs? Cities in North Carolina with the most Remote Python Trainer job openings:

SS Hackathon - AI Developer / AI Engineer

NEOGOV - Test

Concord, NC • On-site, Remote

Other

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Job description

Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.

Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.

Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.

Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.

Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package

Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.

Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).