Machine Learning Engineer II at Fortra

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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)
Strong academic background (M.S. or PhD in a technical field) as a substitute for some 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 them in projects
Solid experience integrating applications with cloud technologies such as AWS
Successfully deployed multiple ML models in production environments
Expertise in MLOps frameworks such as MLflow and Kubeflow (nice to have)
Comfort with Python-based frameworks such as PyTorch, TensorFlow, and scikit-learn (plus)
Demonstrated ability to collaborate with other engineers and data scientists in a small team
Some experience assisting or providing mentorship to junior engineers
Good communication and presentation skills
Ability to convey complicated technical topics to non-technical people verbally and in writing
Demonstrated problem-solving ability and critical thinking skills with engineering challenges
Experience with Agile/Scrum project development methodology
Interest in cybersecurity applications

Responsibilities

Work on various ML engineering projects with minimal supervision
Collaborate with data scientists to optimize, test, and evaluate ML models
Help design, develop, document, test, and debug software engineering solutions for customer-facing applications and internal use
Help 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 EngineeringAgileData Science

Questions & Answers

Common questions about this position

What compensation or benefits does Fortra offer?

Fortra offers competitive benefits and salaries, along with personal and professional development opportunities and flexibility.

Is this Machine Learning Engineer II position remote or hybrid?

This information is not specified in the job description.

What skills are required for the Machine Learning Engineer II role?

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

What is the team structure and culture like at Fortra?

The role involves collaborating within a small team structure with data scientists and engineers, working alongside talented team members committed to helping each other succeed, and participating in Agile ceremonies.

What makes a strong candidate for this Machine Learning Engineer II position?

A strong candidate has at least 4 years of engineering or data science experience (with ML engineering desirable), works with minimal supervision, takes initiative, has a strong academic background like an M.S. or PhD, and expertise in MLOps frameworks like MLflow.

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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