Job Detail: ML Ops Engineer

Role Overview:

Company has an outstanding career opportunity for a senior level Machine Learning (ML) Operations (Ops) Engineer. 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 communications 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.