ML Ops Engineer
ML Ops Engineer
Posted on :
22-11-2024
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Job Description
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 directhire hybrid position offers a competitive salary excellent benefits and growth opportunities.
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Their Linuxbased applications are developed using Scrum Agile methodology. Most development is done in C language; some Python is used. and nbsp;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.
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The ideal candidate will help us deploy manage and optimize our machinelearning 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.
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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 problemsolving 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.
- Bachelors degree in computer science or related field.
- Minimum of 710 years of professional experience.
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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.
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Compensation: and nbsp;$base salary DOE plus an excellent benefits package.
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Applicants must be authorized to work for any U.S. employer.
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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.
Employment Type
Full Time
Key Skills
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