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Python Ml Developer Jobs in Bellefonte, PA (NOW HIRING)

AVTC Group

Sr Software Engineer

State College, PA · On-site +1

$119K - $157K/yr

... ML, Java and Python code in a Linux, Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our Satellite Ground Systems Team plays a pivotal role in ensuring ...

AVTC Group

Software Eningeer

State College, PA · On-site

Rate: 70-100/hr DOE and compensation type On-Site in State College PA ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a Linux, Agile ...

Penn State University

Computer Engineer

University Park, PA · On-site

$92K - $200K/yr

Python * Linux, including familiarity with bash and shell scripts * Cloud architectures Preferred ... Development or evaluation of AI/ML models * A degree in computer science, statistics, mathematics ...

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Bellefonte, PA

Python Ml Developer information

See Bellefonte, PA salary details

$12

$55

$81

How much do python ml developer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for python ml developer in Bellefonte, PA is $55.38, according to ZipRecruiter salary data. Most workers in this role earn between $45.62 and $62.88 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Bellefonte, PA? For Python Ml Developer jobs in Bellefonte, PA, the most frequently searched job titles are:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Bellefonte, PA as of July 2026, with employment types broken down into 80% Full Time, 8% Part Time, 1% Temporary, and 11% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $115,187 per year, or $55.4 per hour.

Software Engineer II with Security Clearance

Cornerstone Defense

State College, PA • On-site

Other

Re-posted 22 days ago

Job description

Software Engineer State College, PA Active TS/SCI Company Overview: Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense. In the Java/Python AI/ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a Linux, Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our Satellite Ground Systems Team plays a pivotal role in ensuring communication, surveillance, and defense capabilities through cutting-edge satellite systems. We invite you to be part of a team that pushes the boundaries of whats possible. Due to the security clearance requirement, this is an onsite position in our State College, PA office. Responsibilities: • Design, develop, and maintain advanced software applications for our Satellite Ground Systems. • Collaborate closely with systems engineers, hardware designers, and other software engineers to deliver reliable and high-performance software solutions. • Design, implement, and test AI, ML, Java and Python based applications and software components for satellite ground systems. • Work in parallel with legacy platform teams to eventually migrate workloads onto your pipelines. • Collaborate with cross-functional teams to define software requirements and specifications. • Work with previously written code and make modifications as necessary. • Ensure software performance, reliability, and scalability. • Participate in software design reviews, code reviews, and system integration activities. • Contribute to the completion of program and project milestones under the specific guidance of their immediate supervisor. • Follow established Software processes and procedures, development, documentation and maintenance/management of operations concepts, requirements (system, element, segment level), external and internal interfaces, and other software engineering work products/artifacts. Basic Qualifications: • Active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and two (2) years of Software Engineering experience. • Experience in object-oriented software design and development using Java and Python in a Linux environment. • Experience with unit testing tools (e.g., JUnit). • Exposure to AI/ML and Data Science. • Experience working in an agile environment Preferred Qualifications: • Experience working in an AI/ML/Data Science role • Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software. • Experience working with large datasets and performing data analysis. • Security+ certification. • Experience with Git, Jenkins, Docker, Kubernetes. • Experience with the Atlassian Tool Suite (e.g. JIRA, Confluence, BitBucket). • Experience with cloud computing platform (e.g. AWS or Azure). • Experience with satellite communication systems and protocols is highly preferred. • Familiarity with secure coding practices, especially in a defense or aerospace setting.

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