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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, building, and maintaining scalable backend systems using Elixir and Python, with proven experience in deploying machine learning and computer vision systems in production environments. Strong problem-solving skills and the ability to collaborate effectively with engineering and product teams are essential.
Highest-signal resume keywords
Elixir DevelopmentMachine Learning DeploymentComputer Vision SystemsBackend EngineeringProduction-Grade Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ElixirPythonMachine LearningComputer VisionBackend DevelopmentFunctional ProgrammingObject DetectionVideo AnalyticsCross-Camera TrackingProduction Systems
Soft Skills
Problem SolvingCollaborationIndependent Work
Industry Keywords
Production EnvironmentStartup ExperienceReal-World DeploymentScalability ChallengesReliability
Tech Stack
Tools & technologiesClojureCloudElixirErlangHaskellPythonScala
About the role
Key responsibilities & impact- Design, build, and maintain scalable backend systems using Elixir and Python
- Develop and support production systems integrating machine learning or computer vision capabilities
- Build and maintain infrastructure for object detection, people or vehicle detection, cross-camera tracking, and video analytics
- Collaborate with engineering and product teams to bring ML/CV capabilities into reliable production environments
- Own technical decisions, implementation, testing, and deployment as a hands-on individual contributor
- Troubleshoot performance, reliability, and scalability challenges across backend and ML-enabled systems
Requirements
What you’ll need- Proven experience shipping at least one machine learning or computer vision system into a real-world production environment, either on edge devices or in the cloud
- At least 4 years of experience as a hands-on individual contributor backend engineer at a Series A–D startup, as a full-time employee
- Production experience with Elixir or another functional programming language, such as Scala, Haskell, Clojure, OCaml, F#, or Erlang
- Strong backend development experience, with the ability to design, build, and maintain production-grade systems
- Comfortable working independently, solving complex engineering problems, and contributing directly to code
- Must currently reside in the United States
- Must be a US citizen or Green Card holder; visa-based work authorization is not eligible
- Candidates must demonstrate real-world production ML/CV deployment, hands-on backend engineering at a Series A–D startup, and functional programming experience
- Pure AI researchers, PhD-focused research profiles, LLM-only experience, or candidates primarily training models from scratch are not aligned
- Elixir developers without demonstrated experience deploying an ML or computer vision system into production are not aligned
- Consultants, freelancers, former founders/CTOs, or candidates without the required full-time startup employee experience are not aligned
- Candidates whose experience is primarily in government, defense, or heavily regulated environments are not aligned
- Candidates from research-heavy autonomous vehicle teams are not aligned
- Managers and executives who are no longer hands-on engineers are not aligned
- Production computer vision experience is a non-negotiable requirement