Senior Software Engineer
Ritchie Bros.
full-time
Posted on:
Location Type: Hybrid
Location: Beverly Hills • California • 🇺🇸 United States
Visit company websiteSalary
💰 $108,160 - $135,220 per year
Job Level
Senior
Tech Stack
CloudDjangoGoogle Cloud PlatformPythonScikit-LearnTensorflow
About the role
- Design, develop, debug, and deploy scalable and efficient backend and ML pipeline code.
- Collaborate with Data Science to productionize ML models, focusing on optimization (e.g., making them faster and smaller), enhancing deployability, and building robust testing frameworks.
- Perform ad hoc analysis and troubleshooting to resolve issues with deployed systems and ML models.
- Write code as part of a collaborative team, building backend features and machine learning services that play a critical role in our day-to-day operations.
- Design, implement, and maintain robust MLOPS and AIOps practices and infrastructure.
- Develop and implement AI Engineering solutions, including prompt engineering, designing Generative AI workflows, using RAG-enabled LLM calls, and implementing evaluation metrics and confidence scores from LLM outputs.
- Manage, define, and break down tasks in an agile environment.
- Mentor other team members.
- Implement with some autonomy & architect solutions in collaboration with engineering leadership.
- Own the problem and scope solutions that line up with business objectives.
- Provide a rapid response to the needs of the team.
Requirements
- Three to five years experience with Python, Django, or similar web frameworks.
- Deep experience with core ML concepts, algorithms, and libraries (scikit-learn, Tensorflow, etc.)
- Experience with techniques for model optimization and deployment (e.g., pre and post-processing, model pruning, quantization) to enhance performance and deployability.
- Familiarity with data preparation, feature engineering, and data pipeline tools.
- Familiarity with Generative AI concepts, LLMs, and prompt engineering techniques.
- Experience in building and evaluating RAG-enabled workflows and implementing confidence scoring for AI systems.
- Familiarity with Google Cloud Platform or other cloud providers for deploying scalable services and ML workload in a production environment.
- Demonstrated ability to troubleshoot, problem solve, test, and develop solutions independently.
- Ownership mindset and capable of self-managing tasks, scope, and priorities.
- Focused on providing our customers with world-class products and services.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonDjangomachine learningscikit-learnTensorFlowmodel optimizationdata preparationfeature engineeringGenerative AIRAG-enabled workflows
Soft skills
collaborationmentoringproblem solvingownership mindsetself-managementagile methodologytroubleshootingcommunicationtestingindependence