Sr Technical Content Writer
Sr Technical Content Writer
Posted on :
26-12-2024
Employer Active
1 Vacancy
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Job Description
Responsibilities:
- Create compelling content for social media blogs newsletter course decks website pages and other digital platforms.
- Develop technical content that communicates complex IT concepts in a clear and engaging manner.
- Collaborate with designers to ensure content and visuals are cohesive and impactful.
- Utilize Generative AI tools to aid in content creation and optimization.
- Edit and proofread content to ensure high quality and consistency with brand voice.
- Stay updated with the latest trends in IT AI and content marketing to produce relevant
and cuttingedge content.
Requirements
- Writing & Editing Tools: Microsoft Word Google Docs Grammarly Hemingway Editor.
- SEO Tools: Ahrefs SEMrush Yoast SEO Moz.
- Content Management Systems: WordPress HubSpot or similar platforms.
- GenAI Tools: Experience with tools like ChatGPT Jasper AI or other AIbased content
generation platforms. - Analytical Skills: Ability to use analytics tools like Google Analytics to track content
performance.
Qualification: - Bachelor s degree in English Journalism Communications or a related field.
- Minimum 5 years of experience in content writing with a focus on IT or techrelated
projects. - Proven experience in using GenAI tools to create or optimize content.
- Strong portfolio of published content in blogs websites or social media.
- Ability to understand complex IT topics quickly and translate them into clear engaging
content.
Benefits
- Opportunities to work with multiple global technology leaders.
- Handson exposure to bleedingedge Web 3.0 Spectrum technologies.
- Opportunity to attend highly sought after technical training.
- Vast opportunity to grow and excel in multiple domains.
- Work in a Vibrant Office environment.
Educational Background: Bachelor's and Master s degrees in Data Science, Computer Science, Statistics, or a related field. Technical Skills: Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch). Strong understanding of all complex machine learning algorithms not limited to decision trees, random forests, and gradient boosting machines. Competence in data preprocessing, cleaning, and analysis. Familiarity with data cleaning, transformation, and preprocessing techniques. Experience with SQL and possibly some NoSQL databases for data querying and manipulation. Basic knowledge of data visualization tools like Matplotlib and Seaborn. Strong skills in SQL for data extraction, and the ability to work with complex database systems. Advanced knowledge of analytical tools and software such as Excel, Tableau, or more specialized software depending on the industry (e.g., SAS, SPSS). Experience with data visualization and the ability to create interactive dashboards. Vast knowledge of NLP, Deep Learning, Machine Learning , Knowledge of genAI with implementation knowledge (LLM, fine tuning RAG implementation) and many more. Familiarity with cloud services (AWS, Azure, Google Cloud) for data processing and storage.. Professional Experience: 2-3 years of experience in a data science or related role. Proven track record of developing and deploying machine learning models to solve business problems. Experience in projects that involve complex data structures and large-scale datasets. Exposure to model validation and implementation in a production environment. Demonstrated experience in analyzing large datasets and delivering actionable insights. Proven track record of effectively communicating findings to help inform business decisions. Experience in performing statistical analysis, forecasting, and establishing data structures that optimize analytical capabilities. Soft Skills: Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach. Good communication skills to effectively articulate insights and technical details to non-technical stakeholders. Ability to work collaboratively in team settings and manage project timelines effectively. Strong attention to detail with the capability to work on multiple projects simultaneously. Effective communication skills, capable of presenting complex information in an understandable and compelling manner. Collaboration skills to work effectively with both technical teams and business units.
Employment Type
Full Time
Key Skills
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