Data & Machine Learning Specialist

Location: Fully remote (preferably within or close to the European timezone) or hybrid with our offices in Cyprus.

About Us: Bolsterup is a rapidly growing B2B SaaS platform revolutionizing the construction industry by connecting architects, engineers, developers, and contributors through project centric information and digital portfolios. We are building a comprehensive platform that showcases projects and contributors, and we are looking to leverage data, AI, and machine learning to fuel our next phase of growth. This role is critical to our mission of enriching our database with valuable insights and helping us generate more knowledge and leads.

Job Description: We are looking for a highly skilled Data & Machine Learning Specialist to join our team. In this pivotal role, you will develop and implement automated solutions to gather data from various sources across the web, including company websites, social media platforms, and public databases. Additionally, you will explore and integrate AI tools like ChatGPT, Claude, Gemini, and more to gather data and potentially develop a custom AI-driven tool for our platform.

The ideal candidate will not only be a technical expert but also someone who proactively brings ideas to the table and is eager to explore and experiment with new technologies. You will work closely with our product and engineering teams to continuously optimize how we collect, clean, and utilize data.

Requirements

Key Responsibilities:

• Develop and deploy automated data scraping and collection tools to gather data from public websites, social media, and company platforms to enrich our database.
• Design and implement algorithms to process, clean, and analyze data, ensuring high data integrity and quality.
• Leverage AI tools like ChatGPT, Claude, or Gemini for data gathering, and explore opportunities for developing custom solutions like BolsterupGPT to enhance our platform and product offering.
• Continuously optimize and scale data collection processes, incorporating new sources and improving efficiency.
• Collaborate with cross-functional teams to integrate the data into our platform and help develop strategies to maximize its value.
• Proactively contribute new ideas and explore innovative approaches to data gathering and machine learning applications.
• Monitor and improve the performance of machine learning models to ensure accuracy and relevance of insights.
• Generate reports and visualizations to present data insights to stakeholders.
• Stay up-to-date with the latest advancements in machine learning, AI, and data engineering, incorporating innovative tools and methods.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field.
• Proven experience in developing web scraping tools (e.g., BeautifulSoup, Scrapy, Selenium, or Brightdata).
• Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in programming languages such as Python or R, and data processing libraries.
• Experience with data cleaning, ETL processes, and preparing data for machine learning.
• Familiarity with AI tools such as ChatGPT, Claude, or Gemini, and a strong interest in experimenting with these technologies.
• Solid understanding of data visualization tools (e.g., Tableau, Power BI) to present actionable insights.
• Knowledge of Google Analytics and the ability to interpret web analytics data.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills and the ability to work with cross-functional teams.
• A proactive attitude, bringing fresh ideas and exploring new technologies, rather than just taking direction.

Nice to Have:

• Experience with big data technologies (e.g., Hadoop, Apache Spark).
• Knowledge of cloud computing services like AWS (SageMaker) for machine learning models.
• Experience with Cloudinary for image storage, manipulation, and metadata management.
• Familiarity with CI/CD pipelines and tools such as GitLab CI, Jenkins, or similar.

Benefits

• Competitive salary and the potential for equity options.
• Flexibility to work remotely or from our offices in Cyprus.
• Opportunities for professional growth and development in an innovative proptech environment.
• Exposure to cutting-edge technologies in SaaS, AI, and data-driven products.
• A vibrant, inclusive, and forward-thinking work culture.

How to Apply: If you’re passionate about leveraging data, AI, and machine learning to solve real-world problems and drive product growth, we’d love to hear from you! Please submit your application and we will get back to you within the next three weeks.

Application Deadline: 11 October 2024