Machine Learning Operations Engineer, Security Solutions

Executive Alliance; New Jersey; Hybrid; USD 100,000 - 140,000; Full time

Job summary

A leading mid-market ransomware solutions provider is looking for a Machine Learning Operations Engineer in New Jersey. This hybrid role involves developing and managing ML systems for ransomware detection, and candidates should have relevant degrees and skills in Python and cloud services management.

Qualifications

• Proficiency in programming with C or Python and Linux familiarity is essential.
• Solid CS fundamentals (data structures, algorithms) required.
• Experience with ML deployment and pipelines necessary.

Responsibilities

• Deploy, manage, and optimize ML systems and pipelines focused on ransomware detection.
• Manage cloud services and data pipelines.
• Collaborate with cross-functional teams for ML model integration.

Skills

Python

Shell scripting

Data analysis

Problem-solving

Communication

Teamwork

Education

BS, MS, or PhD in CS, CE, EE, Math, or related fields

Job description

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