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Fastapi Jobs in Pennsylvania (NOW HIRING)

Cmu

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar) * Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks) Desired Experience:

Cmu

Data Scientist

Pittsburgh, PA

Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar) * Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks) Desired Experience:

Cmu

Senior Data Scientist

Pittsburgh, PA · On-site

Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar) * Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks) Desired Experience:

Wipro Limited

Mlops Engineer

Richfield, PA · On-site

$60K - $135K/yr

... FastAPI or similar frameworks • Knowledge of model deployment strategies (batch and real-time) • Familiarity with Kubernetes and Release management Experience • 3-5 years of experience in MLOps ...

URBN

URBN Staff Software Engineer

Philadelphia, PA · On-site

Design and development of microservices using FastAPI, GraphQL, or similar technologies. * Develop functional designs while interacting with enterprise architects, developers, business partners, and ...

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$121.5K

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How much do fastapi jobs pay per year?

As of Aug 20, 2026, the average yearly pay for fastapi in Pennsylvania is $121,467.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,169.00 and $125,966.00 per year, depending on experience, location, and employer.

What is a FastAPI?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

What are the typical daily responsibilities of a FastAPI developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What are the key skills and qualifications needed to thrive in the FastAPI position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the most commonly searched types of Fastapi jobs in Pennsylvania?

The most popular types of Fastapi jobs in Pennsylvania are:

What are popular job titles related to Fastapi jobs in Pennsylvania?

For Fastapi jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Fastapi jobs in Pennsylvania look for?

The top searched job categories for Fastapi jobs in Pennsylvania are:

Fastapi jobs near you
Infographic showing various Fastapi job openings in Pennsylvania as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 73% Physical, 9% Hybrid, and 18% Remote job distribution, with an average salary of $121,467 per year, or $58.4 per hour.

Data Scientist

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 14 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 620 rated colleges and universities

Job description

Job Summary:
Carnegie Mellon University is a leading institution focused on innovation and research. They are seeking a Data Scientist to leverage advanced statistics, data analytics, machine learning, and artificial intelligence to address cybersecurity challenges for government and industry clients.
Responsibilities:
• Work with customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products.
• Co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
• Work on a wide range of projects including research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems.
• Craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities.
Qualifications:
Required:
• BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
• Willingness to complete modest travel to various locations to support the SEI’s overall mission.
• You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.
• Experience in predictive modeling, data science, and/or AI & machine learning
• Deep understanding of statistical modeling techniques and advanced data analytics
• Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
• Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
• Strong communication skills
• Expertise in one or more of the following: Recommendation systems, Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.), NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering), Causal inference / uplift modeling / synthetic controls, Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow), LLMs / agentic workflows (LangChain/LlamaIndex/Haystack), Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar), Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)
Preferred:
• Experience in cybersecurity and privacy is a plus
• Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
• Demonstrated ability to learn new concepts and grow into new areas of work
Company:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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