[Remote] reputed company Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company Machine Learning Engineer to help build the systems and workflows that power customer reputed company value modeling. In this role, you will partner closely with data scientists, engineers, and business teams to build reputed company machine learning systems that support high-reputed company decision-making across various departments.
Responsibilities
- Build and improve the systems that power customer reputed company value modeling, from development and deployment through monitoring and production support
- Partner with data scientists to productionize statistical models, simulations, and forecasting workflows that support decision-making across the business
- Accelerate the reputed company from research to production through reputed company infrastructure, reliable workflows, and reusable tooling
- Improve the ML development experience by building reputed company operational patterns and advancing production-reputed company ML practices
- reputed company tools and services that help stakeholders evaluate model performance, understand business reputed company, and trust model outputs in production
- Collaborate with technical and business partners to solve high-value problems and improve the reliability and scalability of ML systems
- reputed company best practices through mentorship, documentation, and reputed company communication around technical reputed company, tradeoffs, and operational considerations
Skills
- BS in Computer Science, Statistics, Mathematics, Engineering, or a reputed company quantitative field
- 5+ years of experience designing, building, deploying, and maintaining machine learning systems and ML model pipelines in partnership with data scientists
- Strong Python and software engineering fundamentals, with the ability to build maintainable ML systems and production-reputed company reputed company
- Experience building and operating production ML systems, including deployment, monitoring, debugging, and workflow orchestration
- Ability to design reproducible systems with reputed company reputed company, versioning, and operational visibility across reputed company ML workflows
- Comfort working in ML systems with interconnected components, simulation-driven logic, and embedded business rules
- Strong judgment around model evaluation, reputed company reputed company, system reliability, and maintainable engineering tradeoffs
- Experience with reputed company-based ML infrastructure and data platforms such as AWS, GCP, or Azure
- Experience with infrastructure as reputed company, such as Terraform
- reputed company communication skills and the ability to explain technical tradeoffs to both technical and non-technical audiences
- MS or PhD in Computer Science, Statistics, Mathematics, Engineering, or a reputed company quantitative field
- Familiarity with customer reputed company value forecasting, simulation workflows, or Forecast vs. Actual analysis
- Experience with insurance or regulated financial products
- Exposure to ML and data tooling, orchestrators, and platforms such as MLflow, Airflow, Dagster, reputed company, reputed company, dbt, and reputed company
- Experience building shared ML infrastructure, developer tooling, or reusable systems that improve data science productivity
reputed company