MLOps Tech Lead

August 7

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+28 more states

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🦞 Maine – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $161k - $236k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Guild

WebsiteLinkedInAll Job Openings

Energy • Military • Chemical and Biological Defense

Guild is a diversified company specializing in innovative engineering and manufacturing solutions for commercial and military markets. They focus on gas processing systems, particularly in biogas plants, as well as advanced applications in chemical and biological defense. With a rich history in technology innovation, Guild develops effective solutions for complex problems, enhancing the efficiency and safety of various industries.

1001 - 5000 employees

Founded 2015

⚡ Energy

📋 Description

• Lead and mentor the MLOps engineering team, providing technical direction, oversight, and professional growth. • Architect, design, and lead the implementation of Guild's scalable ML and AI agent deployment platform. • Drive adoption of best practices for continuous integration, delivery, and deployment specific to AI and ML workflows. • Ensure robust monitoring, logging, alerting, and observability of production ML systems and AI agents. • Collaborate closely with data science, engineering, product, and business stakeholders to align technical initiatives with strategic business objectives. • Champion and advance Guild’s data governance, privacy, security, and compliance standards within the ML operational context. • Continually assess and integrate cutting-edge technologies and practices to maintain Guild’s leadership in MLOps and AI infrastructure.

🎯 Requirements

• 10+ years of combined experience in MLOps, DevOps, software engineering, or related technical roles. • Proven leadership experience leading teams technically, mentoring engineers, and setting technical direction. • Deep expertise with modern cloud infrastructure (AWS, Azure, GCP), especially managed ML/AI services. • Strong hands-on experience with Kubernetes, Docker, and container orchestration platforms. • Advanced knowledge of ML serving frameworks (MLFlow, TensorFlow Serving, TorchServe, FastAPI) and ML pipeline orchestration (Airflow, Kubeflow). • Understand MCP and have played with different MCP servers (github, Databricks, AWS) • Proficiency in infrastructure-as-code (Terraform) and extensive experience with CI/CD tools and automated testing. • Expert-level skills in Python programming, software engineering best practices, and scalable systems design.

🏖️ Benefits

• Access to low-cost, high-quality health care options through Cigna and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO) • Access to a 401k to help save for the future • Open vacation policy for employees to rest and recharge • 8 days of fully-paid sick leave, to take the time to heal and or recover • Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 4-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits. • Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services • Education benefits and tuition assistance to help your future development and growth