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Weekend Machine Learning Software Engineer Jobs in Wyoming

Siemens

$18 - $50/hr

Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital ...

Siemens

$18 - $50/hr

Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital ...

Siemens

$18 - $50/hr

Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital ...

Siemens

$18 - $50/hr

Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital ...

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Weekend Machine Learning Software Engineer information

What is a weekend machine learning software engineer?

A Weekend Machine Learning Software Engineer is a professional who specializes in developing and deploying machine learning models and software systems, but works primarily on weekends. These engineers often collaborate remotely or part-time, contributing to machine learning projects such as model training, data preprocessing, or integration into applications. The role typically requires strong programming skills, experience with machine learning frameworks, and the ability to work independently. Weekend positions may appeal to individuals seeking flexible schedules or supplemental income, while still engaging in advanced technical work.

What are the typical responsibilities and collaboration expectations for a weekend machine learning software engineer?

As a Weekend Machine Learning Software Engineer, you’ll often focus on addressing project backlogs, refining models, and supporting critical deployments during off-peak hours. You’ll typically collaborate remotely with data scientists, product managers, and other engineers through asynchronous communication or scheduled virtual check-ins. The role requires a high degree of independence and strong documentation skills, as well as the ability to quickly troubleshoot and implement solutions with limited direct supervision. This position is ideal for those who are self-motivated and enjoy contributing to core projects outside the standard workweek.

What are the key skills and qualifications needed to thrive as a weekend machine learning software engineer, and why are they important?

To thrive as a Weekend Machine Learning Software Engineer, you need a solid background in computer science, programming (Python, Java, or C++), and applied mathematics, supported by experience with machine learning algorithms. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, effective time management, and the ability to work independently are vital soft skills in this role. These competencies are essential for efficiently delivering robust machine learning solutions during limited weekend hours and collaborating remotely with teams.

What is the difference between Weekend Machine Learning Software Engineer vs Part-Time Data Scientist?

AspectWeekend Machine Learning Software EngineerPart-Time Data Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in Data Science, Statistics, or related fields; analytical skills
Work EnvironmentTech companies, startups, or research labs; project-based tasksResearch institutions, consulting firms, or corporate analytics teams
Usage in IndustryDeveloping ML models, algorithms, and software solutionsData analysis, modeling, and insights generation

The Weekend Machine Learning Software Engineer primarily focuses on developing and implementing machine learning models during weekends, often in a software engineering context. In contrast, a Part-Time Data Scientist emphasizes analyzing data, building statistical models, and deriving insights, often with a broader focus on data analysis rather than software development. Both roles may overlap in skills but differ in their core responsibilities and work environments.

What cities in Wyoming are hiring for Weekend Machine Learning Software Engineer jobs?

Cities in Wyoming with the most Weekend Machine Learning Software Engineer job openings:

Weekend Machine Learning Software Engineer jobs near you

Generative AI Automation Engineer - Remote Job

Laramie, WY • On-site

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Other

Re-posted 20 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.

Apply