Diverse Lynx · 2 days ago
AI/ML Engineer
Wonder how qualified you are to the job?
Insider Connection @Diverse Lynx
Responsibilities
Solve complex problems requiring innovative data-driven solutions, and measure the solutions to prove they are working as intended
Ensure any novel solutions are thoroughly vetted from a technical and feasibility standpoint
Enable iterative development within shared CI/CD pipelines
Develop frameworks for testing complex or probabilistic tools
Participate in cross-functional implementation of data science products
Work with stakeholders and others on assigned projects to ensure that value is being delivered at a regular pace
Work with SME’s to understand even the most nuanced context behind what is recorded in our data
Work with technical partners (e.g., Data Engineers, App Developers) to ensure that assets developed for analytical/modeling purposes are stable, reliable, and reproducible
Document complex aspects of projects to ensure they remain extensible and supportable
Contribute readable, maintainable, and testable code to ensure that datasets created and models trained will deliver expected results
Read and contribute to others’ code to help it meet the same standards
Propose new applications of Data Science to business problems, or help develop these proposals
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Python (and/or Pyspark)
SQL (and/or SparkSQL)
Data Analysis (in code)
Data Visualization (in code or BI tools)
MLOps (ML Model deployment and measurement)
GitHub
Company
Diverse Lynx
We are a WBENC and NMSDC certified company helping our clients in their Diversity spending on Staffing or Contingent Workforce Services.
Funding
Current Stage
Late StageRecent News
Company data provided by crunchbase