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Technical Content Writer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning or related fields, Proven experience (3+ years) in technical writing focused on AI, ML, Python and cloud implementations, Strong knowledge of Python and AI/ML libraries like TensorFlow, PyTorch, Scikit-learn, Experience with deploying LLM models on cloud platforms (AWS, Azure, GCP), Familiarity with cloud technologies such as Kubernetes, Docker, serverless computing.

Key responsabilities:

  • Create comprehensive technical content on Python, AI/ML architectures and cloud implementation
  • Develop tutorials, lab guides, and case studies covering AI/ML implementation strategies
  • Simplify complex AI/ML algorithms and cloud strategies for diverse audiences
  • Stay updated with trends in AI, ML, and integrate them into content
  • Collaborate with the product manager to support AI/ML tools and frameworks
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NetCom Learning https://www.netcomlearning.com
1001 - 5000 Employees
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Job description

Job Description: Technical Content Writer (Python, AI & ML with Cloud Implementation)

Position: Technical Content Writer – Python, AI & ML (Cloud Implementation)

Location: [Specify Location or Remote]

Job Type: Full-Time/Part-Time/Contract

Reports to: Product Manager

Overview

We are seeking a highly skilled Technical Content Writer with deep expertise in Python, Artificial Intelligence (AI), Machine Learning (ML), and cloud-based implementation. The ideal candidate will be responsible for creating detailed, high-quality technical content on AI/ML architectures, coding practices, and cloud deployment strategies. This role requires strong technical knowledge, particularly in implementing AI/ML solutions in cloud environments (AWS, Azure, GCP), as well as excellent writing skills to effectively communicate complex concepts to various audiences.

Key Responsibilities

  • Write comprehensive and engaging technical content on Python programming, AI & ML architecture, coding best practices, and cloud implementation strategies.
  • Develop tutorials, case studies, lab guides, and technical documentation covering AI/ML implementation.
  • Break down complex AI/ML algorithms, cloud deployment strategies, and architectural best practices into digestible content for both technical and non-technical audiences.
  • Research and stay updated with the latest trends in AI, ML, and cloud technologies, and integrate them into the content strategy.
  • Create content for deploying and scaling AI/ML models on cloud platforms (AWS, Azure, GCP) including containerization, serverless architecture, and automated pipelines.
  • Develop detailed lab guides, training materials, project-based learning modules, and content on cloud-based AI/ML systems for both beginners and advanced practitioners.
  • Review and edit content to ensure technical accuracy, clarity, and alignment with industry best practices in AI/ML and cloud.
  • Work with product manager to create content that supports AI/ML tools, libraries, and frameworks deployed in the cloud.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related fields.
  • Proven experience (3+ years) as a technical writer, content developer, or similar role with a focus on AI, ML, Python programming, and cloud-based implementations.
  • Strong knowledge of Python programming and popular AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with AI/ML deployment such LLM models on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
  • Deep understanding of AI/ML concepts like neural networks, model training, evaluation, and cloud-based model optimization.
  • Familiarity with cloud technologies such as Kubernetes, Docker, serverless computing, and automated AI/ML pipelines.
  • Proficiency in writing code snippets, creating architectural diagrams, and explaining cloud AI/ML solutions.
  • Excellent communication skills, with the ability to simplify and explain complex technical content for various audiences.
  • Strong attention to detail, with experience proofreading and editing technical documentation for clarity and accuracy.

Preferred Skills

  • Hands-on experience deploying and scaling AI/ML models using cloud services (e.g., AWS SageMaker, Azure ML, GCP AI Platform).
  • Knowledge of AI/ML model monitoring, cloud security practices, and compliance standards in cloud environments.
  • Experience with cloud-based data storage solutions, data pipelines, and big data technologies in relation to AI/ML.
  • Familiarity with version control (Git), API documentation, and cloud infrastructure automation tools.
  • Experience in creating video tutorials, e-learning content, or project-based learning modules focused on cloud AI/ML implementation.

What We Offer

  • Competitive salary and benefits package.
  • A collaborative and innovative environment to explore cutting-edge AI/ML technologies.
  • Opportunities to work on cloud-based AI/ML projects and create industry-leading technical content.
  • Continuous learning and professional development in AI, ML, and cloud technologies.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Editing
  • Research
  • Detail Oriented
  • Verbal Communication Skills

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