Technical Writer

About the Role FloTorch is seeking an experienced Technical Writer with a strong background in documenting complex AI/ML products, platforms, and solutions . The ideal candidate will have hands-on experience working closely with engineering, product management, and data science teams to create clear, concise, and user-focused documentation. 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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