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Remote Github Software Engineer Jobs in Alaska (NOW HIRING)

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... into software applications and system architectures using APIs and microservices - Supports ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... into software applications and system architectures using APIs and microservices - Supports ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... into software applications and system architectures using APIs and microservices - Supports ...

Job Title: Project Engineer SOC code: 17-3022 FLSA Classification: Exempt Department/Location ... and remote field work. * Knowledge of and the ability to use a computer and software to record ...

Collaborate with engineers, project managers, and clients during site visits * Deliver reliable ... software-related issues * Comfortable traveling to remote Alaska job sites when needed (flights ...

iOS Engineer -Remote

Anchorage, AK · Remote

$166.68K - $191.40K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

iOS Engineer -Remote

Fairbanks, AK · Remote

$166.68K - $191.40K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

iOS Engineer -Remote

Juneau, AK · Remote

$166.68K - $191.40K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

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Remote Github Software Engineer information

What are the key skills and qualifications needed to thrive as a Remote Github Software Engineer, and why are they important?

To thrive as a Remote Github Software Engineer, you need strong coding abilities (often in languages like Ruby, Go, or JavaScript), experience with version control systems, and a solid understanding of software development principles, typically backed by a relevant degree or significant professional experience. Familiarity with GitHub's ecosystem, CI/CD pipelines, cloud platforms, and tools like Docker or Kubernetes is crucial, along with knowledge of automated testing frameworks. Exceptional written communication, self-motivation, and collaboration skills are essential for effective teamwork and problem-solving in a remote environment. These skills and qualities ensure you can contribute high-quality code, coordinate with distributed teams, and deliver reliable software solutions efficiently.

How does a Remote Github Software Engineer typically collaborate with team members across different time zones?

As a Remote Github Software Engineer, effective collaboration often relies on asynchronous communication tools like GitHub Issues, Pull Requests, and project boards. Regularly updating documentation, leaving detailed code reviews, and participating in scheduled virtual meetings help ensure everyone stays aligned despite time differences. Strong written communication skills are essential, as much of the collaboration happens through comments and documentation rather than real-time discussions. This setup fosters flexibility but also requires proactive communication to avoid misunderstandings and project delays.

What does a Remote Github Software Engineer do?

A Remote Github Software Engineer is responsible for designing, developing, and maintaining software applications, typically using the GitHub platform for version control and collaboration. They work from a remote location, collaborating with team members through online tools and repositories. Their tasks often include writing code, reviewing pull requests, managing issues, and ensuring the quality and security of software projects. Effective communication and strong problem-solving skills are essential for success in this role.
What are popular job titles related to Remote Github Software Engineer jobs in Alaska? For Remote Github Software Engineer jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Remote Github Software Engineer jobs in Alaska look for? The top searched job categories for Remote Github Software Engineer jobs in Alaska are:
What cities in Alaska are hiring for Remote Github Software Engineer jobs? Cities in Alaska with the most Remote Github Software Engineer job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Juneau, AK • Remote

Other

Posted 9 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.