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Summer Python Developer Google Jobs in Gallatin, TN

Matthews

Staff Software Engineer (TN)

Nashville, TN · On-site

$170K - $220K/yr

Make architectural decisions that balance scalability, reliability, and developer velocity. * Set ... Design and implement APIs and data models using Golang, Python, GraphQL, and Postgres . * Drive CI ...

Deloitte

Cyber - SecOps - Consultant

Nashville, TN · On-site

... data engineering, and AI-enabled capabilities. You will work with leading technologies and help ... Working with technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk ...

Pwc

AI Engineer

Nashville, TN · On-site

$55K - $187K/yr

... using Python and TensorFlow - Integrating data from diverse sources to support AI and machine ... Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

United Airlines

GCP Solution Architect

Nashville, TN · On-site +1

$86K - $203K/yr

... python, java, agular, php, ruby, .Net etc. . Experience with Kubernetes and Service Mesh ... such as Grafana, Kiali and Google Stackdriver . Understanding of DevOps, GitOps CI/CD ...

Capgemini

GCP Solution Architect

Nashville, TN · On-site

$86.90 - $203.80/hr

... python, java, agular, php, ruby, .Net etc. . Experience with Kubernetes and Service Mesh ... such as Grafana, Kiali and Google Stackdriver . Understanding of DevOps, GitOps CI/CD ...

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How much do summer python developer google jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for summer python developer google in Gallatin, TN is $55.10, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $62.60 per hour, depending on experience, location, and employer.

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 job categories do people searching Summer Python Developer Google jobs in Gallatin, TN look for? The top searched job categories for Summer Python Developer Google jobs in Gallatin, TN are:
Summer Python Developer Google jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Nashville, TN • On-site

Other

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply