Our client in Holmdel, NJ, has been in business for 19 years and is a leading provider of analytical engines to detect data corruption. They are looking for multiple Machine Learning (ML) Operations Engineers. This direct-hire, hybrid position offers a competitive salary, excellent benefits, and growth opportunities.
Their Linux-based applications are developed using Scrum Agile methodology. Most development is done in C language; some Python is used. As the company experiences this period of growth, we are looking for talented individuals who are motivated by overcoming difficult technical challenges in a collaborative environment to join the team. Experience developing software for data backup or data storage applications is desired.
The ideal candidate will help us deploy, manage, and optimize our machine-learning models.
Responsibilities:
Manage ML Pipeline(s)
Manage ML systems and operations:
Ransomware acquisition pipeline operations
Manage detonation and analysis services
Manager recurring reports of new ransomware detonated images
Perform some System Admin and VM management
Manage Cloud service
Report generation, creation, and optimization
Data collection and analysis
Log management
Routine system administration
Collect, analyze, and report on internally collected data
Data acquisition/Web crawling
Collaboration: Work closely with data engineers, software developers, and IT teams to ensure seamless integration of ML models.
Provide technical leadership within assigned areas of responsibility.
Requirements:
Proven experience in deploying and managing machine learning models in production.
Proficiency in programming languages such as Python. Familiar with pandas and numpy.
Experience with shell scripting on Linux and Windows.
Experience with VMware operations and administration.
Excellent problem-solving and communication skills.
Strong written and oral communication skills.
Enjoys working in a challenging and highly collaborative environment.
Able to work as part of a team.
Able to accommodate the time zone differences required to work with teams in the US and Asia.
Require minimal supervision and be able to operate in a matrixed organization.
Bachelor's degree in computer science or related field.
Minimum of 7-10 years of professional experience.
Preferred:
Knowledge of data engineering and data pipeline tools.
Experience with SVN, GIT, JIRA, and Confluence.
Experience setting up and configuring PCs, Networks, and ESXi hosts.
Compensation: $130,000 - 150,000 base salary DOE, plus an excellent benefits package.
Applicants must be authorized to work for any U.S. employer.
Staff Smart, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, genetic information, disability status, or any other characteristic protected by law.