AI/ML Ops Engineer

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Blackpoint Cyber

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🎖️ Defense

🔒 Cybersecurity

💰 $190M Series C on 2023-06

Consulting • Defense • Cybersecurity

Blackpoint Cyber is a technology-focused cybersecurity company headquartered in Maryland, USA. Established by former US Department of Defense and Intelligence security experts, Blackpoint leverages its real-world cyber experience to help Managed Service Providers (MSPs) safeguard their infrastructure and operations. The company offers a proprietary cybersecurity ecosystem, including its SNAP-Defense platform for Managed Detection and Response (MDR) services. Blackpoint's dedicated security analysts work 24/7 to combine various security measures, including network visualization and endpoint security, to monitor and respond to threats. Additionally, Blackpoint is launching LogIC, a logging and integrated compliance service designed to assist MSPs with cyber compliance requirements. The company's mission is to deliver comprehensive detection and response services to help MSPs combat the evolving threat landscape.

📋 Description

• Own the AI/ML loop end-to-end at scale across all pipelines, from model training through deployment, monitoring, and retirement • Develop, optimize, and deploy ML models • Design, build, and administer model-building and serving infrastructure • Deploy trained scripts as live endpoints that accept real-time requests • Implement ML workflows as containerized Infrastructure as Code using Terraform, GitHub Actions, Docker, and Kubernetes • Build and automate standardized container pipelines for training, feature engineering, and inference channels • Manage CI/CD through GitHub • Own test strategy across the full ML pipeline, including model validation, integration, load, and deployment testing • Build visibility and alerting into deployed pipelines • Develop ML governance utilities for oversight and administration of deployed infrastructure • Implement data, feature, and model lifecycle best practices • Contribute to AI architecture and design decisions, with primary ownership of ML pipeline work • Collaborate with Engineering, the Security Operations Center (SOC), and the Adversary Pursuit Group (APG) • Report to the Vice President of AI and Data

🎯 Requirements

• 5+ years of hands-on ML Engineering experience • Personally trained and deployed models into a production environment • Well-architected mindset focused on efficiency, performance, security, and reliability • Comfort owning deployment pipelines end-to-end • Strong analytical and problem-solving abilities • Data-driven decision-making • Excellent communication and interpersonal skills • Ability to influence and collaborate with stakeholders at all levels • Experience with cloud-based ML infrastructure, especially AWS • Experience with SageMaker and Bedrock • Experience with Kafka and Spark for inference streams and event-driven processing • Experience with MLflow and SageMaker Pipelines • Experience with Terraform, AI CI/CD, and GitHub Actions • Experience with ML governance, including data, model, and feature versioning, monitoring, and testing • Experience with Docker, Kubernetes, ECS/EKS • Proficiency in Python and Bash • Proficiency in SQL and SparkSQL • GitFlow, CI/CD workflows, and DevOps best practices • Experience with AI-assisted development lifecycle • Experience building high-availability, production-grade systems with visibility and alerting • Nice to have: Transformer Neural Networks • Nice to have: Agile Scrum/Kanban • Nice to have: Anthropic, OpenAI, and LiteLLM APIs and SDKs • Nice to have: Cybersecurity, IoT, or NLP experience • Nice to have: Grafana or CloudWatch

🏖️ Benefits

• Equity participation available to employees globally, with program details varying by location and employment structure • Discretionary bonus • International employees receive competitive benefits in accordance with local market standards and applicable country requirements • Eligible US employees: Health Insurance, Vision, Dental, and Life Insurance plans • Eligible US employees: robust 401k plan • Eligible US employees: Discretionary Time Off • Other minor perks