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Python Ml Developer Jobs (NOW HIRING)

AI ML Developer 1 Key Responsibilities: - Design, develop, and deploy machine learning models for ... in Python and core machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow ...

Python/AI/ML Engineer They are looking for an expert engineer ... developer with a year or two experience with generative AI (genAI is only a few years old from the ...

Embedded AI/ML Developer

Spring, TX · On-site

$117K - $154K/yr

Embedded AI/ML Developer Description - The Embedded AI/ML Developer will design, develop, and ... Proficient in C/C++ and Python; familiar with embedded scripting, automation, build systems, and ...

Strong proficiency in programming languages such as Python, R, Java, and C/C++. * Front-end ... ML Frameworks: Proficiency in ML Modeling concepts and frameworks like Sklearn, TensorFlow, Keras ...

This ML Engineering role is onsite and combines software engineering and machine learning expertise ... Expert experience understanding of Kubernetes programming - Python is essential; with experience in ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Senior Python Developer

Atlanta, GA · On-site

$116K - $157K/yr

Alpharetta, GA Duration: 6 months GBaMS ReqID: 10527471 Senior Python Developer - AI/ML Model SDKs **(USCs + GC holders only) • Senior Python Developer responsible for designing, building, and ...

Senior Python AI/ML Developer

Jersey City, NJ · On-site

$126K - $170K/yr

We are seeking an experienced Senior Python Engineer to design, build, and maintain scalable, high-quality software systems. This role requires strong expertise in Python, system design, and modern ...

Working knowledge of Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and model evaluation-enough to partner effectively with data scientists * Feature Engineering Infrastructure:

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Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for python ml developer in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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 the key skills and qualifications needed to thrive as a Python ML Developer?

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 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.

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.

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Infographic showing various Python Ml Developer job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

AI ML Developer 1

Stenographica, Ltd

Austin, TX • On-site

Full-time

Re-posted 29 days ago


Job description

Job Title:

AI ML Developer 1

Key Responsibilities:

- Design, develop, and deploy machine learning models for production use cases
- Build and maintain data pipelines, preprocessing workflows, and feature engineering components
- Collaborate with data scientists, engineers, and product teams to translate requirements into ML solutions
- Evaluate model performance, implement monitoring, and iterate to improve accuracy and reliability
- Develop scalable ML services and integrate models into applications/APIs

Required Skills:

- Strong proficiency in Python and core machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow)
- Experience with data engineering fundamentals (ETL/ELT, SQL, data preprocessing, feature engineering)
- Knowledge of model evaluation, validation strategies, and performance tuning
- Proficiency with ML deployment and production workflows (e.g., Docker, REST APIs, CI/CD concepts)
- Experience with cloud platforms and MLOps tools (e.g., AWS/GCP/Azure; MLflow or similar preferred)
- Strong understanding of statistics, algorithms, and machine learning best practices

Qualification:

- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred)
- 7+ years of experience in machine learning development and/or data science engineering
- Demonstrated experience delivering ML models to production environments

Type:

Full time

Address:

Austin, TX, USA