Machine Learning Engineer II at Fortra

Armenia

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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

Key technologies and capabilities for this role

Machine LearningMLOpsData PipelinesModel DeploymentLLMsGenerative ModelsSoftware EngineeringAgileCybersecurity

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What is the salary for this Machine Learning Engineer II role?

The salary is described as competitive, but specific details are not provided.

What skills and experience are required for this role?

Candidates need at least 4 years of engineering or data science experience, solid skills in a major programming language like Python, Java, or C++, experience with cloud technologies such as AWS, and successful deployment of multiple ML models in production.

What is the company culture like at Fortra?

Fortra values a team environment, encourages collaboration, and offers flexibility along with personal and professional development opportunities.

What makes a strong candidate for this position?

A strong candidate has at least 4 years of engineering or data science experience, ML deployment expertise, a solid academic background like an M.S. or PhD, and is a proactive, creative problem solver with a collaborative spirit.

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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