Executive Alliance
Machine Learning Operations Engineer, Security Solutions
Executive Alliance, Trenton, New Jersey, United States
Machine Learning Operations Engineer, Security Solutions
Executive Alliance is representing a rapidly growing mid-market ransomware solutions provider serving OEM partners and clients across various industries. They are seeking a
Machine Learning Operations Engineer
to develop and manage ransomware detection and analysis solutions. Note: This hybrid role is based in Monmouth County, New Jersey, with three days at the company's HQ and two days remote, transitioning later to four days at HQ and one remote day in 2025. Visa sponsorship is not available; only US citizens or residents are eligible. No C2C, international applicants, or recruiting agencies, please. The Machine Learning Operations Engineer will deploy, manage, and optimize ML systems and pipelines focused on ransomware detection and analysis. Responsibilities include managing cloud services, data pipelines, and system administration, collaborating with cross-functional teams to ensure seamless ML model integration. Proficiency in Python, shell scripting, VMware, and data analysis is required. Strong problem-solving, communication, teamwork skills, and experience with ML deployment and pipelines are essential. Requirements:
BS, MS, or PhD in CS, CE, EE, Math, or related fields; ML Ops knowledge; software development experience; teamwork skills; familiarity with C or Python and Linux; solid CS fundamentals (data structures, algorithms). Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Research Industries
Software Development
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Executive Alliance is representing a rapidly growing mid-market ransomware solutions provider serving OEM partners and clients across various industries. They are seeking a
Machine Learning Operations Engineer
to develop and manage ransomware detection and analysis solutions. Note: This hybrid role is based in Monmouth County, New Jersey, with three days at the company's HQ and two days remote, transitioning later to four days at HQ and one remote day in 2025. Visa sponsorship is not available; only US citizens or residents are eligible. No C2C, international applicants, or recruiting agencies, please. The Machine Learning Operations Engineer will deploy, manage, and optimize ML systems and pipelines focused on ransomware detection and analysis. Responsibilities include managing cloud services, data pipelines, and system administration, collaborating with cross-functional teams to ensure seamless ML model integration. Proficiency in Python, shell scripting, VMware, and data analysis is required. Strong problem-solving, communication, teamwork skills, and experience with ML deployment and pipelines are essential. Requirements:
BS, MS, or PhD in CS, CE, EE, Math, or related fields; ML Ops knowledge; software development experience; teamwork skills; familiarity with C or Python and Linux; solid CS fundamentals (data structures, algorithms). Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Research Industries
Software Development
#J-18808-Ljbffr