Building foundational AI for speech transcription and understanding.
ML Ops Infrastructure Engineer
Location
United States
Posted
100 days ago
Salary
$160K - $220K / year
Seniority
Senior
Job Description
ML Ops Infrastructure Engineer
Deepgram
• Design and build CI/CD pipelines specifically tailored for ML model development, validation, and deployment • Architect and maintain model deployment pipelines that move models from research environments through staging to production with confidence • Build A/B testing infrastructure that enables controlled rollouts of new models and measures real-world performance impact • Implement comprehensive monitoring for model performance in production -- accuracy metrics, latency, drift detection, and regression alerts • Develop automated retraining pipelines that trigger on data changes, performance degradation, or scheduled cadences • Create and maintain build and test environments that mirror production, giving researchers high-fidelity feedback before deployment • Establish model versioning, artifact management, and rollback capabilities to ensure safe and reproducible deployments • Collaborate with research engineers to define and enforce model quality gates before production promotion • Build observability dashboards that give the team real-time insight into model health across all environments • Optimize model serving infrastructure for latency, throughput, and cost efficiency
Job Requirements
- 4+ years of experience in MLOps, DevOps, or infrastructure engineering with a focus on ML systems
- Strong proficiency in Python and experience building automation and tooling for ML workflows
- Deep experience with CI/CD systems and building pipelines for software and model delivery
- Hands-on experience with Docker and Kubernetes for containerized workload management
- Practical experience deploying and serving ML models in production environments
- Familiarity with model evaluation, validation, and quality assurance processes
- Understanding of monitoring and observability principles as applied to ML systems
- Strong problem-solving skills and a bias toward automation over manual processes
Benefits
- Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
- Unlimited PTO
- Generous paid parental leave
- Flexible schedule
- 12 Paid US company holidays
- Quarterly personal productivity stipend
- One-time stipend for home office upgrades
- 401(k) plan with company match
- Tax Savings Programs
- Learning / Education stipend
- Participation in talks and conferences
- Employee Resource Groups
- AI enablement workshops / sessions
Related Guides
Related Categories
Related Job Pages
More Infrastructure Engineer Jobs
Scraping Team Lead
Infatica.ioGlobal data intelligence partner offering advanced web scraping & ethical proxies. 🌎 Worldwide IP locations since 2019
Role Description We are now looking for an experienced Team Lead for our web scraping development team who will: - Lead the team and become the technical leader of the platform - Drive architectural decisions - Shape the future of our cutting-edge scraping infrastructure Key Responsibilities include: - Architecture Design - Data-plane: high-parallel crawler, session management, anti-bot bypass, CAPTCHA solver - Control-plane: API, authorization, billing, quotas, monitoring - Infrastructure: microservices, Docker/K8s, CI/CD, observability - Development Leadership - Team building: participate in hiring backend, browser, DevOps, and QA engineers - Establish development and release processes - Code quality control and technical decision oversight - Anti-Bot Research & Bypass - Browser and network-level fingerprinting (JA3, TLS, CDP) - Protection bypass: Cloudflare, Akamai, Qrator, ServicePipe, Variti, and others Qualifications - 5+ years of engineering experience in high-load backend/data platforms - Extensive Scraping experience (mandatory) - Excellent understanding of HTTP, TLS, HTTP/2, proxies, browser stack (CDP, WebRTC) - Experience with async Python and Go (ideally both), Redis, queues, message brokers - Experience analyzing and bypassing bot protection systems — strong plus - Fluent English (all documentation and part of the team are English-speaking) - Decision-making skills, mentoring abilities, and accountability for results Requirements - 5+ years of engineering experience in high-load backend/data platforms - Extensive Scraping experience (mandatory) - Excellent understanding of HTTP, TLS, HTTP/2, proxies, browser stack (CDP, WebRTC) - Experience with async Python and Go (ideally both), Redis, queues, message brokers - Experience analyzing and bypassing bot protection systems — strong plus - Fluent English (all documentation and part of the team are English-speaking) - Decision-making skills, mentoring abilities, and accountability for results Benefits - Participate in developing the company's key product from scratch - High autonomy and influence on architecture and team decisions - Competitive compensation package - Remote work flexibility Company Description Infatica.io is a global provider of proxy and DaaS solutions. We're building our own high-load web scraping platform: an API where you can submit any URL and receive clean HTML or structured JSON output, without worrying about proxies, CAPTCHAs, or anti-bot systems. The platform will support both cloud deployment and on-premises deployment in client infrastructure (on-prem, Kubernetes).
We are seeking an experienced and dynamic Infrastructure Engineer - Level 2 to drive technology strategy, lead high-performing engineering teams, and ensure infrastructure reliability and security.
Sr Cloud Infrastructure Engineer
Radiology PartnersRadiology Partners, through its owned and affiliated practices, is a leading radiology practice in the U.S., serving hospitals and other healthcare facilities across the nation. As a physician-led and physician-owned practice, we advance our bold mission by innovating across clinical value, technology, service and economics, while elevating the role of radiology and radiologists in healthcare.
Job Description: RADIOLOGY PARTNERS OVERVIEW Radiology Partners, through its owned and affiliated practices, is a leading radiology practice in the U.S., serving hospitals and other healthcare facilities across the nation. As a physician-led and physician-owned practice, we advance our bold mission by innovating across clinical value, technology, service and economics, while elevating the role of radiology and radiologists in healthcare. Using a proven healthcare services model, Radiology Partners provides consistent, high-quality care to patients, while delivering enhanced value to the hospitals, clinics, imaging centers and referring physicians we serve. Radiology Partners is an equal opportunity employer. RP is committed to being an inclusive, safe and welcoming environment where everyone has equal access and equitable resources to reach their full potential. We are united by our Mission to Transform Radiology and in turn have an important impact on the patients we serve and the healthcare system overall. We hold that diversity is a key source of strength from which we will build a practice culture that is inclusive for all. Our goal is to empower and engage the voice of every teammate to promote awareness, compassion, and a healthy respect for differences. Radiology Partners participates in E-verify.
• Transform technology into opportunity as an Infrastructure Engineer • Provide system administration and development/maintenance support of Commander, Navy Installation Command (CNIC) G2 applications • Perform root cause analysis for production issues on CNIC applications • Coach and mentor System Administrators on best methodologies to handle network, systems, and F5 troubleshooting • Support other CNIC applications on this contract as assigned
