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Python Ai Ml Jobs (NOW HIRING)

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 perspective of the user). Day to day:

Sr. Python AI/ML Engineer Job Location: Morris Plains, NJ, Austin or Dallas, TX, Tampa or Orlando, FL (Hybrid - Onsite 3 days/week) Key Technology: Python, CloudWatch, Open Telemetry, RAG ...

Senior Python AI/ML Full Stack Engineer We are seeking an experienced Senior Python AI/ML Full Stack Engineer with strong expertise in Python backend development, cloud-native architecture, AI/LLM ...

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Required Skills and Experience Strong proficiency in Python programming and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Transformers). Hands-on experience with Azure OpenAI models ...

Strong proficiency in Python programming and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Transformers). * Hands-on experience with Azure OpenAI models and APIs. * Solid understanding ...

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How much do python ai ml jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for python ai ml 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, machine learning, or data science, often involving advanced skills in programming, deep learning, and data analysis. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

Is Python good for AI ML?

Python is widely regarded as an excellent programming language for AI and machine learning roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is commonly used by AI/ML professionals for developing models, data analysis, and automation tasks, making it a valuable skill for such jobs.

Which 3 jobs will survive AI?

For a Python AI ML professional, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced analytical skills, programming proficiency, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What are Python AI/ML engineers?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

What is the salary of Python AI ML?

The salary for Python AI ML roles varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in machine learning, deep learning, and data analysis can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

How does a Python AI/ML professional typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
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Python/AI/ML Engineer

Marencor

Malvern, PA • On-site

Contractor

Posted 20 days ago


Job description


Location: Malvern, PA. M/F Remote. T/W/TH On-site
Length: 18 months +
Interview Process: 2 steps. 2nd round is an on-site interview, so candidates must be close enough to make it

Position: 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 perspective of the user).
Day to day:
* Develop, test, and deploy AI/ML solutions to address various business needs
* Collaborate with data scientists, product managers, and other stakeholders to understand requirements and deliver solutions
* Optimize and maintain existing AI/ML models to ensure they perform efficiently and accurately
Must haves:
* Expertise with SQL and the Python programming language
*Experience with a variety of Python's frameworks and libraries for AI/ML development (e.g. anthropic, TensorFlow, scikit-learn, etc.)
* Experience building AI/ML solutions on AWS
* 1-2 years with GenAI
* Familiarity with data engineering practices such as time series data and fact-based data and tools such as Python's Polars package