Machine Learning Engineer II at Fortra

Armenia

Fortra Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
CybersecurityIndustries

Requirements

  • At least 4 years of experience in engineering and/or data science roles (at least one year of ML engineering experience desirable)
  • Solid academic background (M.S. or PhD program in a technical field) as an adequate substitute for a few years of industry experience
  • Solid experience developing system architecture and solving engineering problems in at least one major programming language such as Python, Java, or C++
  • Solid knowledge of software engineering and data science techniques and methodologies, with demonstrated ability to apply these in active projects
  • Solid experience in integrating applications with cloud technologies such as AWS
  • Successfully deployed multiple ML models in production environments

Responsibilities

  • Work on various ML engineering projects with minimal supervision
  • Collaborate with data scientists to optimize, test, and evaluate ML models
  • Design, develop, document, test, and debug software engineering solutions for both customer-facing applications and internal use
  • Deploy, scale, and maintain machine learning models in production environments
  • Follow and help enforce development best practices and standards
  • Actively participate or sometimes take the lead in Agile ceremonies
  • Provide assistance to less experienced team members
  • Engage with data science and engineering teams to understand requirements and constraints for multiple products
  • Collaborate with other engineers and data scientists within a small team structure
  • Continually pursue independent exploration of related MLOps and data science topics and technologies
  • Acquire technical expertise on the development of ML models including LLMs and generative models
  • Acquire domain expertise in one cybersecurity application area
  • Write technical documentation of small-scale components based on architectural design and stated engineering requirements

Skills

Machine Learning
MLOps
Data Pipelines
Model Deployment
LLMs
Generative Models
Software Engineering
Agile
Cybersecurity

Fortra

Cybersecurity solutions for businesses and enterprises

About Fortra

Fortra provides cybersecurity solutions aimed at protecting businesses from evolving cyber threats. Their products include threat detection and response, data protection, network security, and automation tools, all designed to work together seamlessly. Fortra differentiates itself from competitors by focusing on customer success and offering integrated and scalable solutions that can adapt to the needs of both small and large organizations. The company's goal is to simplify cybersecurity for its clients, ensuring they can operate securely and efficiently in a complex digital landscape.

Eden Prairie, MinnesotaHeadquarters
1991Year Founded
GROWTH_EQUITY_VCCompany Stage
CybersecurityIndustries
1,001-5,000Employees

Benefits

Flexible Work Hours

Risks

Increased competition from market leaders may impact Fortra's market share and pricing.
Potential class action suit from ransomware attack could harm Fortra's reputation and finances.
Dependency on third-party distributors may affect direct customer relationships and profit margins.

Differentiation

Fortra offers integrated and scalable cybersecurity solutions for diverse business needs.
The company focuses on customer-centric approaches to enhance cybersecurity posture and automation.
Fortra's XDR solution provides comprehensive security across identity, network, cloud, and endpoints.

Upsides

Growing demand for XDR solutions boosts Fortra's market potential and client base.
Strategic partnerships in North America and EMEA expand Fortra's reach and service offerings.
Recognition as a market leader in security awareness training enhances brand reputation.

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