Machine Learning Operations Engineer

Voted by employees as a Top Place to Work, our client’s patented software platform provides early detection, diagnosis and recovery of cyber and ransomware attacks allowing businesses to accelerate response, minimize disruption, prevent data loss, and reduce risk. The business is leading the way in developing cutting edge, high-performance AI-powered data security solutions and technologies. We are now looking for a ML Ops Engineer to join their busy, successful, and growing team.

ML Ops Engineer

Holmdel, NJ- hybrid working from home role with 3 days per week office based.

$145-170K plus bonus and excellent benefits package including generous pre-IPO stock options.

You must be a US citizen or Green Card holder to apply for this role.

To be successful in this role:

You will be a confident ML Ops Engineer, with a minimum of 2 years of professional experience including proven experience deploying and managing machine learning models in production. Other requirements for this role include:

• Bachelor’s degree in Computer Science or a related field
• Proficiency in Python, including libraries like pandas and numpy
• Strong understanding of computer science fundamentals, including algorithms and data structures
• Experience with shell scripting on Linux and Windows platforms
• Knowledge of VMware operations and system administration
• Excellent problem-solving and communication skills
• Ability to work collaboratively in a challenging and dynamic environment
• Flexibility to work across time zones, supporting teams in the US and Asia
• Preferred qualifications for this role include:
• Familiarity with data engineering tools and data pipeline management
• Experience using version control systems like SVN and Git, and tools such as Jira and Confluence
• Proficiency in setting up and configuring PCs, networks, and ESXi hosts

Job role and responsibilities:

As a ML Ops Engineer, you will join a forward-thinking team and help manage Machine Learning (ML) pipelines, systems, and operations. This is a hands-on role that involves deploying ML models, managing cloud services, and working on data acquisition pipelines. If you have strong technical skills, enjoy solving complex problems, and thrive in a collaborative environment, this opportunity is for you.

Key responsibilities for this role include:

• Oversee ML pipeline operations, including ransomware acquisition, detonation analysis services, and recurring reporting
• Manage cloud services, optimize reports, collect and analyze data, and maintain logs
• Perform routine system administration tasks and manage VMware operations
• Acquire, analyze, and report on internally collected data through web crawling and data engineering tools
• Work closely with data engineers, software developers, and IT teams to ensure seamless integration of ML models into production environments
• Provide guidance and support within your assigned areas of responsibility

Benefits:

Competitive salary up to $145K

Excellent benefits package

Stock options in a growing company

Opportunity to work with cutting-edge ML technologies in a collaborative and innovative environment

If you’re passionate about ML Operations and eager to make an impact in a rapidly evolving field, we’d love to hear from you!