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Remote Python Machine Learning Jobs in Phoenix, AZ

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... unsupervised machine learning models * Strong programming experience, preferably in Python

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... unsupervised machine learning models * Strong programming experience, preferably in Python

Senior Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ... using Python, dbt, Dataflows, or Fabric/ADF pipelines. · Deep knowledge of healthcare data ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code. - Comfortable working with large datasets for machine learning applications. Bonus/nice to have: - Master ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code. - Comfortable working with large datasets for machine learning applications. Bonus/nice to have: - Master ...

Senior AI/ML Engineer

Phoenix, AZ · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data-centric AI projects - especially where ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... Python. - Passionate about self-driving technologies, solving hard problems, and creating ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... Python. - Passionate about self-driving technologies, solving hard problems, and creating ...

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How much do remote python machine learning jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for remote python machine learning in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

Which 5 jobs will survive AI?

Remote Python machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms that are difficult to fully automate. Jobs involving creative problem-solving, strategic decision-making, and human interaction, such as data scientists, AI specialists, software developers, cybersecurity analysts, and technical trainers, are also expected to remain in demand despite advances in AI. Continuous learning and adapting to new tools like deep learning frameworks will help professionals stay relevant in these fields.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in Python, deep learning frameworks, and extensive experience. These positions usually involve leadership, strategic planning, and may include stock options or bonuses, reflecting their seniority and impact on company success.

Which 3 jobs will survive AI?

Remote Python machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms that are difficult to fully automate. Jobs involving creative problem-solving, strategic decision-making, and interpersonal communication, such as data scientists, AI specialists, and software engineers, are also expected to remain in demand. Continuous learning and adapting to new tools like deep learning frameworks will help professionals stay relevant in these fields.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

Is Python good for remote jobs?

Python is widely used for remote jobs, especially in fields like machine learning, data analysis, and web development. Many companies offer remote Python roles that require skills in frameworks, libraries, and version control tools, making it a strong choice for remote work opportunities.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are popular job titles related to Remote Python Machine Learning jobs in Phoenix, AZ? For Remote Python Machine Learning jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in Phoenix, AZ look for? The top searched job categories for Remote Python Machine Learning jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Python Machine Learning jobs? Cities near Phoenix, AZ with the most Remote Python Machine Learning job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Phoenix, AZ • Remote

Other

Posted 19 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.