Overview
Remote
$140,000 - $160,000
Full Time
Skills
Software Engineering
Python
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Django
TensorFlow
scikit-learn
Google Cloud
Google Cloud Platform
Data Science
Algorithms
vertex ai
Big Query
alloy db
Job Details
Senior Software Engineer - Platform Engineering, Python / ML
Role Summary
The Software Engineer will support our line of business operations by developing backend solutions and building, deploying, and maintaining machine learning systems using modern frameworks and technologies in accordance with industry software engineering standards.
Key Responsibilities
- Design, develop, debug, and deploy scalable and efficient backend and ML pipeline
- 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
- Design, implement, and maintain robust MLOPS practices and
- Manage, define, and break down tasks in an agile
- Mentor other team
- Implement with some autonomy and 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
Skills and Experience
- Experience with Python, Django, or similar web
- Deep experience with core ML concepts, algorithms, and libraries (scikit-learn, Tensorflow, )
- Familiarity with data preparation, feature engineering, and data pipeline
- 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
Expected Outcomes (first 12 months)
- Keep up with the daily needs of our operational team(s)
- Build performant and scalable backend and full-stack solutions to support new and existing products and features
- Partner with the Data Science team to deploy, maintain, and optimize the performance of production-grade machine learning models and
- Develop and maintain documentation for new and existing business logic in
- Be active in the community, performing code reviews and sharing knowledge
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.