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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable backend systems and machine learning models, with a strong focus on system performance optimization and effective collaboration with data science teams. Proven ability to lead architectural decisions, mentor associates, and drive project execution aligned with business objectives.
Highest-signal resume keywords
Backend EngineeringMachine Learning Model DeploymentPython ProgrammingDevOps PracticesCollaboration with Data Science Teams
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend EngineeringSoftware DevelopmentMachine Learning SystemsModel IntegrationPerformance OptimizationProgramming LanguagesCloud Services
Soft Skills
LeadershipMentoringCoachingCommunication
Certifications & Qualifications
Bachelor's Degree in Computer Science
Industry Keywords
APIsSystem ArchitectureCode ReviewsBusiness PlansCommunity Outreach
Tech Stack
Tools & technologiesCloudJavaPython
About the role
Key responsibilities & impact- Design, build, and maintain scalable search and backend systems
- Develop, deploy, and manage machine learning models in collaboration with data science teams
- Optimize system performance for search algorithms and ML pipelines
- Ensure seamless integration between APIs, services, and ML models
- Lead and contribute to system architecture, code reviews, and best practices
- Drive execution of business plans and projects by identifying customer and operational needs, developing plans, removing obstacles, and measuring progress
- Provide supervision and development opportunities for associates through selection, training, mentoring, assignment of duties, performance evaluations, recognition, and coaching
- Promote company policies, procedures, mission, values, ethics, compliance, and Open Door Policy
- Evaluate the effectiveness of plans and initiatives and identify improvements in efficiency and cost-effectiveness
- Participate in and support community outreach events
Requirements
What you’ll need- Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area (Option 1)
- 6 years’ experience in software engineering or related area (Option 2)
- Strong backend engineering and software development experience
- Hands-on expertise with ML systems, DevOps, and deploying machine learning models
- Experience working with data science teams on model integration
- Proficiency in programming languages (e.g., Python, Java, or similar) and cloud services
Benefits
Comp & perks- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits
