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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in MLOps and data science algorithm implementation, with a strong foundation in Python programming and database management. Capable of deploying and monitoring ML models in production environments while adhering to best development practices.
Highest-signal resume keywords
Python 3.11+SQLAlchemyFastAPIKubernetesPostgreSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
MLOpsData Science AlgorithmsLinear Programming TechniquesMonitoring and Evolution of ML ModelsInfrastructure Management
Soft Skills
Passionate About TechnologyCommitment to Quality StandardsEager to Learn and Advance
Tools & Technologies
GitLabRedisDruidPrometheusGrafanaKibana
Industry Keywords
Machine LearningOptimization AlgorithmsInfrastructure DebtContinuous DeliveryClient Applications
Tech Stack
Tools & technologiesGrafanaKubernetesPostgresPrometheusPythonRedis
About the role
Key responsibilities & impact- Improve the MLOps platform to support ML engineers
- Work closely with software engineers to implement data science algorithms in client applications safely, scalably, and maintainably
- Exchange with the platform team to minimize infrastructure debt
- Help deploy algorithms to production safely, scalably, and maintainably
- Support the development, monitoring, and evolution of ML-powered forecasting and optimization algorithms
- Work with unconstrained-demand ML models and constrained optimization problems using linear programming techniques
Requirements
What you’ll need- Currently pursuing a Master’s Degree in Engineering
- Looking for an end-of-study internship
- Passionate about addressing business challenges through innovative technological solutions
- Committed to maintaining high-quality standards
- Solid understanding of computer science
- Eager to advance quickly in an environment adhering to best development practices
- Python 3.11+ with SQLAlchemy, Remoulade, and FastAPI
- PostgreSQL, Redis, and Druid
- GitLab for continuous delivery
- Kubernetes for infrastructure
- Prometheus/Grafana and Kibana for operations
Benefits
Comp & perks- Attractive remuneration
- 1 day of remote work per week
- Access to WellPass at a preferential rate
- Monthly afterworks
- Regular meetings on technology and products
- Annual off-site seminars
- Team-building activities
- Skills development through initiative and autonomy
- Learning environment with opportunities for evolution