Rust Jobs for Rustaceans

Key Responsibilities:

• Deploy and maintain high-performing ML models (e.g., ensembles of LSTMs and Random Forests) in real-time environments
• Monitor deployed models for drift or performance degradation and implement automated retraining pipelines.
• Implement advanced deployment strategies (e.g., Blue-Green, Canary, Champion-Challenger)
• Develop modular and flexible ML pipelines that ensure uptime and reliability
• Build and manage scalable infrastructure using Kubernetes, Docker, Terraform, and related tools
• Design and implement an on-premises development platform using Kubeflow to replicate cloud capabilities in classified environments
• Set up robust monitoring, logging, and alerting systems using Prometheus, Grafana, and Loki
• Optimize performance metrics like inference latency and system throughput while ensuring fault tolerance
• Work with cross-functional teams, including Data Engineering, Machine Learning, and DevOps, to integrate and enhance ML systems
• Define touchpoints and handoffs with DevOps and Data Engineering to ensure seamless integration of ML workflows with existing infrastructure and data pipelines
• Mentor junior team members and contribute to building a collaborative and innovative team culture
• Other duties as assigned

Requirements

• 4+ years, including deploying and/or maintaining at least one ML model or pipeline in a production environment.
• Proficiency in writing clean, maintainable Python code for automation and basic scripting tasks
• Basic experience building and maintaining CI/CD pipelines for small-scale projects or systems
• Basic familiarity with distributed environments and frameworks like Protobufs or ZeroMQ
• Basic familiarity with MLflow, Kubeflow, or similar platforms for managing ML experiments and pipelines
• Basic familiarity with Kubernetes and Terraform for managing containerized environments and infrastructure

Preferred Qualifications

• Familiarity with C++ and/or Rust.
• Experience with workflow orchestration tools such as Airflow or Prefect
• Experience with distributed data processing frameworks such as PySpark
• Familiarity with SQL and modern database technologies (e.g., MinIO, Yugabyte)
• Experience with DVC, Ansible, Kustomize, Helm, Prometheus, and Grafana
• Understanding of secure software development practices and/or experience working in classified environments

Education

• Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related technical field
• Relevant certifications (e.g., Certified Kubernetes Administrator, Certified Kubernetes Application Developer, Terraform Associate) are a plus

Soft Skills

• Strong problem-solving and analytical skills
• Excellent communication and collaboration capabilities
• Ability to thrive in a dynamic, fast-paced environment
• Good written and verbal communication skills
• Detail oriented
• Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment.