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딥핑
AI Application Engineer
딥핑소스 · 강남구, 서울, 한국
About The Role
Who We Are
Deeping Source develops software to derive meaningful actions from observable data using pre-installed CCTV setups in real-world environments with Vision AI models. This approach is commonly referred to as MTMC (Multi-Target Multi-Camera).
Our product aims to deliver actual actions that the consumer can take to enhance their retail margin or increase foot traffic while reducing overall maintenance cost.
Life at Core Team
- You will be assigned targeted goals that demand real problem-solving
- Juniors get a starting point on how to approach the problem
- Seniors are expected to design their own approach end-to-end
- The team respects each contributor's call on how to tackle the work
- Everyone is an individual contributor, including management
Core Responsibilities
- Build the product layer on top of MTMC data that end users actually consume
- Design for scale as retail deployments grow and data volumes increase
- Productize demos that match prospective customers' potential needs
- Turn demos into consumer-grade software non-technical users can operate
Disclaimer: While this role relates to the use of vision AI or LLM, it is not a research role that is oriented towards training and validating models
Minimum Qualifications
- Bachelor's degree in Computer Science or a related field (Mathematics,Statistics, Electrical Engineering, etc.)
- Work-level English with strong verbal communication
- Strong backend or frontend coding skills. Regardless of which language you use, we're looking for people who can write clean and effective code and understand how data pipelines work.
- Working understanding of Machine Learning, specifically Vision AI and LLMs
- Strong problem-solving and critical thinking, with attention to detail
Preferred Qualifications
- 3+ years of experience in Backend, Machine Learning, or Frontend roles
- Experience with prompt engineering
- Experience with system design
- Experience with systems languages (Rust, C++)
- The development and validation phase has been extremely optimized since the rise of LLMs and we strongly differentiate between vibe coding and agentic coding
What We Value Most - Problem Solver
- You'll be given objectives and goals, not blueprints and instruction
- Four major social insurances provided
- Sick leave policy
- Cultural/leisure expense support
- Enrollment in accident insurance
- Employees may work from home (WFH) once a week
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