Technical Writer

12 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role


Technical Writer


Job Location: Pune/ Hyderabad


Key Responsibilities

  • Develop high-quality technical content, including

    user guides, API documentation, SDK references, release notes, tutorials, and whitepapers

    for AI/ML products.
  • Translate complex

    AI/ML workflows, algorithms, and data engineering concepts

    into simple, user-friendly documentation for developers, data scientists, and enterprise customers.
  • Collaborate with

    product managers, AI/ML engineers, Data Scientists and Developers

    to gather insights and ensure technical accuracy.
  • Maintain a consistent content style guide and documentation standards across all deliverables.
  • Participate in

    UX design reviews, product demos, and sprint planning

    to proactively identify documentation needs.

Continuously update documentation in line with product releases and customer feedback.


Required Skills & Qualifications

  • 5–12 years

    of professional experience as a Technical Writer in a technology-focused environment.
  • Proven experience documenting

    AI/ML platforms, data pipelines, APIs, or cloud-based solutions

    .
  • Strong ability to explain

    complex AI/ML concepts (e.g., model training, deployment, MLOps, inference, data processing)

    to both technical and non-technical audiences.
  • Proficiency with documentation tools such as

    Markdown, AsciiDoc, Confluence, Git, DITA/XML, or similar frameworks

    .
  • Hands-on experience with

    API documentation tools

    (e.g., Swagger/OpenAPI, Postman).
  • Familiarity with programming/data technologies like

    Python, TensorFlow, PyTorch, Scikit-learn, or ML frameworks

    (reading/understanding code is a plus).
  • Excellent

    writing, editing, and communication skills

    with attention to detail.
  • Ability to thrive in an

    Agile/Scrum environment

    with distributed teams.


Nice-to-Have

  • Exposure to

    AI/ML product lifecycles

    (model experimentation, deployment, monitoring).
  • Experience with

    knowledge management systems, chatbots, or AI-driven documentation assistants

    .
  • Familiarity with

    cloud platforms

    (AWS, GCP, Azure) and MLOps tools.
  • Contribution to

    open-source projects or developer communities

    .


Why Join Us?

  • Opportunity to work on cutting-edge

    AI/ML products

    shaping the future of technology.
  • Collaborative and innovation-driven work environment.
  • Competitive compensation, growth opportunities, and exposure to global teams.

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