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Summer Python Developer Google Jobs in North Carolina

Seasoned developer (10 plus years) with advanced experience in Java/Python * Hands on AI experience developing LLM based applications * Orchestration using Langraph/Google ADK * MCP experience About ...

Senior Cloud Engineer- Google Cloud

Alexis, NC

$52.25 - $69.75/hr

Proficiency in DevOps practices and tools * Excellent scripting skills in languages such as Python ... Google Cloud certifications (e.g., Professional Cloud DevOps Engineer) are a plus

Role : Gen AI ML Engineer Location :Charlotte, NC Hire type : Contract Qualifications * Bachelor ... Excellent hands on experience in Python, LLM, RAG, Vector Databases, LangChain, LangGraph, Google ...

Position Overview We are seeking a highly experienced Senior / Lead AI Developer to join our ... You'll also be granted time off for designated ACA Paid Holidays, Summer Fridays, Personal/Family ...

Position Overview We are seeking a highly experienced Senior / Lead AI Developer to join our ... You'll also be granted time off for designated ACA Paid Holidays, Summer Fridays, Personal/Family ...

Position Overview We are seeking a highly experienced Senior / Lead AI Developer to join our ... You'll also be granted time off for designated ACA Paid Holidays, Summer Fridays, Personal/Family ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Showing results 41-60

Summer Python Developer Google information

What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

What are the most commonly searched types of Python Developer Google jobs in North Carolina?

The most popular types of Python Developer Google jobs in North Carolina are:

What are popular job titles related to Summer Python Developer Google jobs in North Carolina?

For Summer Python Developer Google jobs in North Carolina, the most frequently searched job titles are:

What cities in North Carolina are hiring for Summer Python Developer Google jobs?

Cities in North Carolina with the most Summer Python Developer Google job openings:

Infographic showing various Summer Python Developer Google job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 39% Full Time, 52% Part Time, 6% Contract, 1% Nights, and 1% Summer. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

SS Hackathon - AI Developer / AI Engineer

NEOGOV - Test

Concord, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 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).