Job Title: Machine Learning Operations EngineerLocation: Holmdel, NJ (Hybrid - 3 days on-site per week)Compensation: Up to $145K Base Salary + Stock Options (flexibility for exceptional candidates)About The Opportunity:We are seeking a hands-on ML Ops Engineer to manage and optimize machine learning systems and pipelines in a dynamic, collaborative environment. This role is ideal for candidates with strong computer science fundamentals, a passion for machine learning operations, and the ability to work across teams to ensure seamless system performance. If you're a smart, motivated team player-even with as little as 1-2 years of experience-we encourage you to apply.Job Responsibilities:
- Manage and maintain ML pipelines and systems.
- Oversee ransomware acquisition pipelines, including detonation and analysis services.
- Perform recurring tasks such as generating reports of newly detonated ransomware images and routine system administration.
- Manage cloud services, log management, and data collection/reporting operations.
- Collect, analyze, and report on internally acquired data, including data acquisition and web crawling tasks.
- Collaborate with data engineers, software developers, and IT teams to ensure seamless integration of ML models.
- Provide technical leadership within assigned areas of responsibility.
Key Requirements:
- Proven experience in deploying and managing machine learning models in production.
- Strong programming skills in Python with familiarity in pandas and numpy.
- Experience with shell scripting on Linux and Windows.
- Proficiency in VMware operations and administration.
- Excellent problem-solving, written, and verbal communication skills.
- Enjoys working in a highly collaborative, challenging environment.
- Ability to work across time zones with teams in the U.S. and Asia.
- Able to operate in a matrixed organization with minimal supervision.
- Education: Bachelor's degree in Computer Science or related field (MS or PhD preferred).
Preferred Qualifications:
- Familiarity with data engineering and data pipeline tools.
- Experience with svn, git, Jira, and Confluence.
- Knowledge of setting up and configuring PCs, networks, and ESXi hosts.
- A minimum of 7-10 years of professional experience in relevant fields.
Agile Staffing is a leading Recruitment firm with an ever-growing list of clients across North America. Our success comes from establishing strong partnerships with our clients, delivering service with integrity, and adapting continuously to the evolving recruitment world. We continue to explore and integrate the latest recruitment processes and technology to ensure we find the best talent for our clients. Our talented Recruitment team takes pride in their work and is passionate about connecting great resources to great employers