Machine Learning Operations Engineer
On-site 3 days for now
Local candidates only 

They are onsite 3 days per week now; this might change in the future. Candidates must be able to commute to 3 days per week and should know that this is likely to increase.
Stock: Stock options are awarded to all new employees.

Our client is a growing software company. Several key positions have opened because of this expansion including Machine Learning Ops Engineers at Senior and Principal levels with machine learning experience. These are hybrid positions in Monmouth County. If you have solid computer science fundamentals (data structures, algorithms, etc.) and experience with C or Python and Linux you may qualify for one of these exceptional opportunities.
 
The ML Ops Engineer roles involve deploying, managing, and optimizing machine learning systems and pipelines, with a focus on ransomware acquisition and analysis operations. Key responsibilities include managing cloud services, data pipelines, and system administration tasks while collaborating with cross-functional teams to ensure seamless integration of ML models. Proficiency in Python, shell scripting, VMware administration, and data analysis is essential. Strong problem-solving, communication, and teamwork skills, along with experience in ML model deployment and pipeline management, are critical for success in this role. Full job description is available.
 
BS, MS or PhD in CS, CE, EE, Math, or other technical discipline; 
Machine Learning Ops knowledge; a few years of software development; team player with great interpersonal skills; desire to contribute and learn;