Job Description :
If you are interested in applying for this job, please make sure you meet the following requirements as listed below.
As a Machine Learning Engineer at Structify, you will play a pivotal role in changing the way people research on the Internet.
You will develop sophisticated knowledge graphs and personalized AI agents. You'll collaborate closely with a dynamic team of engineers and entrepreneurs to drive the evolution of our platform.
Key Responsibilities :
- Algorithm Development :
- Design, implement, and optimize machine learning algorithms to automate web scraping.
- Develop and deploy AI agents for maintaining knowledge graphs, ensuring efficiency and accuracy.
- Knowledge Graphs :
- Build and maintain knowledge graphs that dynamically update based on real-time data and user interactions.
- Implement techniques to enhance the personalization of knowledge graphs for individual users.
- Data Integration :
- Work closely with data engineering teams to integrate diverse data sources into the machine learning pipeline.
- Ensure seamless connectivity between AI agents and external databases for continuous learning.
- Model Training and Evaluation :
- Train, fine-tune, and evaluate machine learning models to improve performance and adaptability.
- Implement monitoring systems to ensure the reliability and robustness of AI agents.
- Collaboration :
- Collaborate with cross-functional teams to understand product requirements and translate them into technical solutions.
- Participate in code reviews and knowledge-sharing sessions to foster a collaborative development environment.
Qualifications :
- Educational background in Computer Science, Machine Learning, or a related field.
- Strong proficiency in Rust or other programming languages (Python, Java, etc.).
- Experience in developing and deploying AI solutions in real-world applications.
- Knowledge of vector and graph databases.
- Familiarity with natural language processing (NLP) and data scraping techniques.
- Strong problem-solving skills and the ability to work in a fast-paced, dynamic startup environment.
We know not every application will meet all of the above, so we encourage you to apply if you think you'd be a good fit. We're all about building a genuine team of smart engineers who care about reshaping the future of research and knowledge discovery as much as we do.
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