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Internship Python Developer Google Jobs in Pennsylvania

Python (Required) * Java (Preferred) * SQL AI & Machine Learning * Machine Learning * Deep Learning ... Google Cloud Platform) Databases * PostgreSQL * MongoDB * MySQL * Redis DevOps & MLOps * Docker

... 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 ...

Software Engineer III

Pittsburgh, PA ยท On-site

$55.75 - $75/hr

... C , Python, or Java. Preferred qualifications: * Master's degree or PhD in Computer Science or ... About the job Google's software engineers develop the next-generation technologies that change how ...

Senior Software Engineer

Pittsburgh, PA ยท On-site

$118K - $156K/yr

... with Java, C or Python. * 3 years of experience testing, maintaining, or launching software ... About the job Google's software engineers develop the next-generation technologies that change how ...

Engage in coding, data preparation, and model training using tools such as Python, Azure ... Knowledge of DevOps/MLOps practices, CI/CD pipelines, and version control. Ability to understand ...

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Internship Python Developer Google information

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

AspectInternship Python Developer GoogleInternship Data Analyst Google
Required SkillsPython, programming, basic data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis, reporting, dashboards
Industry UsageSoftware, tech, AI projectsBusiness intelligence, marketing, operations

Internship Python Developer Google focuses on coding, software development, and programming skills, often in AI or backend projects. In contrast, Internship Data Analyst Google emphasizes data analysis, visualization, and reporting skills for business insights. Both roles are valuable entry points in Google's tech ecosystem but serve different functions within the company's diverse projects.

What are the most commonly searched types of Python Developer Google jobs in Pennsylvania? The most popular types of Python Developer Google jobs in Pennsylvania are:

AI Engineer Only on W2 USC

Bridge Flair LLC

Malvern, PA โ€ข On-site

Other

Posted 15 days ago


Job description

We are seeking a highly skilled AI Engineer to design, develop, and deploy AI-powered applications and machine learning solutions. The ideal candidate will have experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), cloud platforms, and modern AI frameworks. You will work closely with cross-functional teams to build scalable AI solutions that solve real-world business problems.

Key Responsibilities
  • Design, develop, and deploy AI/ML and Generative AI applications.
  • Build and optimize LLM-powered solutions using OpenAI, Claude, Gemini, or similar models.
  • Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases.
  • Create AI agents and workflow automation solutions.
  • Fine-tune, evaluate, and optimize AI models for performance and accuracy.
  • Build RESTful APIs and microservices to integrate AI capabilities into enterprise applications.
  • Develop data preprocessing and feature engineering pipelines.
  • Collaborate with data scientists, software engineers, and product teams.
  • Deploy AI solutions on AWS, Azure, or Google Cloud Platform.
  • Monitor, troubleshoot, and optimize AI applications in production.
  • Follow MLOps best practices for model deployment, monitoring, and lifecycle management.
Required SkillsProgramming Languages
  • Python (Required)
  • Java (Preferred)
  • SQL
AI & Machine Learning
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • AI Agents
  • Fine-Tuning
  • Model Evaluation
AI Frameworks & Libraries
  • LangChain
  • LangGraph
  • LlamaIndex
  • Hugging Face Transformers
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • OpenAI API
  • Anthropic Claude API
  • Google Gemini API
RAG & Vector Databases
  • Retrieval-Augmented Generation (RAG)
  • Pinecone
  • Weaviate
  • ChromaDB
  • FAISS
  • Milvus
Cloud Platforms
  • AWS
  • Microsoft Azure
  • Google Cloud Platform (Google Cloud Platform)
Databases
  • PostgreSQL
  • MongoDB
  • MySQL
  • Redis
DevOps & MLOps
  • Docker
  • Kubernetes
  • Git
  • GitHub/GitLab
  • Jenkins
  • MLflow
  • Kubeflow
  • CI/CD Pipelines
API & Backend
  • FastAPI
  • Flask
  • REST APIs
  • GraphQL
  • Microservices
Qualifications
  • Bachelor''''''''s or Master''''''''s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • 6+ years of software engineering experience with at least 2+ years in AI/ML or Generative AI.
  • Strong proficiency in Python programming.
  • Experience building and deploying production-grade AI applications.
  • Hands-on experience with LLMs, RAG, and prompt engineering.
  • Experience with cloud platforms and containerization technologies.
  • Excellent analytical, problem-solving, and communication skills.