Senior ML Engineer at BMT designing and deploying machine - learning systems, collaborating across diverse client projects in defence and security sectors.
About the role
- Senior ML Ops Engineer at Early Warning designing infrastructure for machine learning models. Collaborating across teams to enhance model deployment and performance in financial systems.
Responsibilities
- Designs, builds, and maintains scalable ML infrastructure and pipelines for model training, deployment, and monitoring.
- Optimizes orchestration processes to ensure efficient deployment and management of predictive models.
- Optimizes resource usage to minimize infrastructure expense while maximizing performance.
- Monitors and maintains the performance, security, and scalability of the ML infrastructure.
- Collaborates with data scientists and software engineers to streamline the ML lifecycle from development to production.
- Develops and maintains tools for data analysis, experimentation, model versioning, and artifact management.
- Supports data and model governance requirements as needed.
- Creates robust monitoring systems to measure and trend model performance, detect model drift, and ensure optimal performance of models in production.
- Develops automation scripts and tools to improve the efficiency and reliability of MLOps processes.
- Optimizes ML workflows for efficiency, scalability, and reliability.
- Provides technical assistance and mentorship to all team members; troubleshoots complex issues and escalates issues as necessary.
- Supports the company commitment to risk management and protecting the integrity and confidentiality of systems and data.
Requirements
- Minimum 5 years’ experience in Data Science, ML Engineering or ML Ops capacity.
- Strong programming skills in Python and experience with Data Science and ML packages and frameworks.
- Experience with AWS services.
- Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices.
- Experience deploying models with MLOps tools such as MLflow, Kubeflow, or similar platforms.
- Expert understanding of data management, distributed computing, and software architecture principles.
- Proven experience delivering real-time models in production environments.
- Background and drug screen.
Benefits
- Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
- 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
- Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
- 12 weeks of Paid Parental Leave
- Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.
- And SO much more!
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