FORE builds custom AI solutions for companies in Tech, Healthcare, and Retail, expanding their utilization of untapped datasets to solve imperative business challenges in workforce and operations.
Requirements
- Experience working with major cloud platforms and data pipeline best practices, GCP preferred.
- Proficiency in Python and its data-related libraries (Pandas, NumPy, SciPy).
- Familiarity with the use of NLP to set up experiments, however deep understanding of how these models work is not required.
- Experience with version control using Git.
- Strong attention to processing integrity and accuracy.
- Effective problem-solving abilities using best practices in product testing.
- High attention to detail, particularly with data security best practices.
Responsibilities
- Backend Development: Design, implement, and optimize backend systems at scale.
- Infrastructure & Deployment: Set up servers, cloud resources, and projects from scratch, ensuring scalability and cost efficiency.
- Production Reliability: Monitor and respond to production issues, proactively improving system resilience.
- Optimization & Performance Tuning: Reduce cloud and compute costs by optimizing resources.
- Technical Flexibility: Adapt to different project needs, integrating new technologies as required.
- Collaboration: Work closely with data engineers, analysts, and other stakeholders to ensure robust backend solutions.
Other
- 2-5 years of relevant experience.
- Bachelor’s degree in Computer Science or a related field.
- Excellent communication skills.
- Demonstrated ability to work independently and collaboratively.
- Remote-first role operating on Pacific Time, with quarterly on-sites in Los Angeles, CA.
