ZipRecruiter

Log In

1

Python Ai Developer Jobs in Johnstown, PA (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Indiana, PA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

XL Batteries

Chemical Process Engineer

Indiana, PA · On-site

$110 - $160/hr

Chemical Process Engineer Location : Marlborough, MA About Us XL Batteries, a Massachusetts-based ... MATLAB, Python, or similar software) and experience using AI tools to accelerate technical ...

New

Anavia AG

Enterprise Applications Specialist

Indiana, PA · On-site

$80 - $110/hr

Define and execute the engineering applications strategy in alignment with Engineering and business ... Identify and implement automation and AI/ML capabilities; incorporate into roadmap and team ...

New

Ascentt

Manufacturing Data Analyst

Indiana, PA · On-site

$80 - $100/hr

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and ... Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...

New

previous page

Showing results 21-34

All JobsPython Ai Developer JobsPython Ai Developer Jobs in Johnstown, PA

Python Ai Developer information

See Johnstown, PA salary details

$13

$57

$85

How much do python ai developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for python ai developer in Johnstown, PA is $57.87, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

What are the key skills and qualifications needed to thrive as a Python AI Developer?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

How to become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can enhance your skills. Familiarity with data handling, algorithms, and software development practices is also essential.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data analysis tools tend to earn higher salaries.

What cities near Johnstown, PA are hiring for Python Ai Developer jobs?

Cities near Johnstown, PA with the most Python Ai Developer job openings:

Python Ai Developer jobs near you
Infographic showing various Python Ai Developer job openings in Johnstown, PA as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $120,375 per year, or $57.9 per hour.

Machine Learning Engineer

Bespoke Labs

Indiana, PA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

Apply