2

Temporary Remote Python Machine Learning Jobs in Philadelphia, PA

... python helpful, but not required • A deep understanding of the application of statistics/machine learning in healthcare/life sciences and the pharmaceutical industry or excitement to upskill in ...

... python helpful, but not required A deep understanding of the application of statistics/machine learning in healthcare/life sciences and the pharmaceutical industry or excitement to upskill in these ...

... python helpful, but not required A deep understanding of the application of statistics/machine learning in healthcare/life sciences and the pharmaceutical industry or excitement to upskill in these ...

A.I. Manager

PA · On-site +1

Guide model development, including machine learning, deep learning, NLP, and generative AI ... Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Strong ...

Proficient using Linux/Unix shell scripting and Python (or similar languages) to perform complex ... Demonstrated application of artificial intelligence/machine learning (AI/ML) methods to solve real ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Showing results 21-40

Temporary Remote Python Machine Learning information

See Philadelphia, PA salary details

$13

$59

$87

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

As of Aug 7, 2026, the average hourly pay for temporary remote python machine learning in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What is the difference between Temporary Remote Python Machine Learning vs Data Scientist?

AspectTemporary Remote Python Machine LearningData Scientist
Required CredentialsBachelor's in CS, Python, ML certificationsBachelor's/Master's in CS, Statistics, Data Analysis
Work EnvironmentRemote, project-based, tech companiesRemote or on-site, diverse industries
Industry UsageTech, AI startups, research labsFinance, healthcare, tech, consulting
Common Search IntentTemporary remote Python ML rolesData analysis, modeling, insights

Temporary Remote Python Machine Learning roles focus on developing ML models using Python in short-term, remote projects. Data Scientists have broader responsibilities in data analysis, statistical modeling, and insights across various industries. While both roles require Python and related skills, Data Scientists often have a wider scope of work and industry applications.

What are popular job titles related to Temporary Remote Python Machine Learning jobs in Philadelphia, PA? For Temporary Remote Python Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Temporary Remote Python Machine Learning jobs in Philadelphia, PA look for? The top searched job categories for Temporary Remote Python Machine Learning jobs in Philadelphia, PA are:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

West Chester, PA • Remote

Full-time

Re-posted 16 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.