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Technical Content Writer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

India

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

NetCom Learning https://www.netcomlearning.com

1001 - 5000 Employees

See more NetCom Learning offers

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.