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Remote Director Machine Learning Jobs in Mosinee, WI

Palco

Tax Specialist I

Stevens Point, WI · Remote

We provide the management, support, and systems behind self-directed programs--the services that ... This position is remote/work-from-home role. Enjoy the convenience of working from home and ...

All JobsRemote Director Machine Learning JobsRemote Director Machine Learning Jobs in Mosinee, WI

Remote Director Machine Learning information

See Mosinee, WI salary details

$35.6K

$90.8K

$139.3K

How much do remote director machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote director machine learning in Mosinee, WI is $90,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $104,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a Remote Director of Machine Learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
Remote Director Machine Learning jobs near you
Security Engineer

Security Engineer

Northwinds Technology Solutions

Stevens Point, WI • Remote

Full-time

Posted 14 days ago

Job description

General Description

The Security Engineer plays a key role in protecting NorthWinds Technology Solutions, its affiliated companies, and its clients by designing, implementing, and maintaining enterprise security solutions. This position focuses heavily on the Microsoft security ecosystem, including endpoint protection, identity security, and related capabilities.

This role is responsible for strengthening the organization’s security posture through proactive monitoring, detection, and response, while working cross-functionally with infrastructure, cloud, and application teams. The Security Engineer will also participate in vulnerability management, incident response, and the ongoing evolution of security architecture and controls.

Core Responsibilities

Security Operations & Monitoring

  • Monitor, investigate, and respond to security alerts across Microsoft security and other platforms (Purview, Defender suite, SIEM, Entra ID)
  • Analyze logs and telemetry to identify suspicious activities and potential threats
  • Support incident response activities, including containment, eradication, and root cause analysis
  • Maintain and improve detection rules, analytics, and alert tuning

Microsoft Security Platform

Administer and Optimize:

  • Microsoft Defender for Endpoint, Identity, Cloud Apps, and Office 365
  • Microsoft Entra ID (Azure AD) security controls and tools
  • Microsoft Purview controls and tools

Additional responsibilities:

  • Develop and maintain automated workflows and playbooks
  • Integrate Microsoft security tools with other enterprise systems

Vulnerability & Risk Management

  • Conduct vulnerability assessments and coordinate remediation efforts
  • Partner with infrastructure and application teams to prioritize and mitigate risks
  • Contribute to risk tracking, reporting, and audit readiness (SOC 2, HIPAA, etc.)

Architecture & Engineering

  • Work with the Security Architect to identify and recommend improvements to enterprise security architecture
  • Assist with the implementation of security controls across cloud (Azure/AWS) and on-premises environments
  • Support identity and access management initiatives, including MFA, conditional access, and least privilege

Compliance & Governance

  • Assist with audits, security reviews, and third-party assessments
  • Ensure alignment with organizational security policies and regulatory requirements
  • Provide input into security standards, procedures, and documentation

Collaboration & Enablement

  • Work closely with infrastructure, network, and application teams to embed security controls
  • Provide technical guidance and support for security best practices
  • Help drive security awareness across engineering teams

Key Skills

  • Identity and access management (IAM)
  • Network security fundamentals (TCP/IP, firewalls, segmentation, switching, and routing)
  • Windows and cloud security principles
  • SIEM platforms and operations
  • Experience with vulnerability management and remediation processes
  • Familiarity with security frameworks and compliance standards (SOC 2, HIPAA, NIST, CIS)
  • AWS networking, security configuration, and tools
  • Strong analytical, troubleshooting, and problem-solving skills
  • Linux terminal and PowerShell experience
  • Copilot administration and machine learning familiarity
  • Effective communication and collaboration skills

Key Characteristics

  • Detail-oriented and proactive in identifying and mitigating risks
  • Strong ownership mindset with the ability to drive security initiatives forward
  • Collaborative, team-first approach across infrastructure and security functions
  • Continuous learner who stays up to date on evolving threats and technologies

Required Qualifications

  • 3–5 years of experience in cybersecurity, security engineering, or security operations
  • Hands-on experience with Microsoft security technologies, including:
    • Microsoft Defender suite (Endpoint, Identity, Cloud Apps, Office 365)
    • Microsoft Entra ID (Azure AD) security features and Intune administration
  • Experience with endpoint detection and response (EDR/XDR) and SIEM platforms

Preferred Qualifications

  • Microsoft certifications (SC-200, SC-300, AZ-500, or equivalent)
  • Experience with automation and scripting (PowerShell, Python)
  • Exposure to cloud security (Azure and/or AWS)
  • Experience implementing conditional access policies and Zero Trust principles
  • Knowledge of threat intelligence and detection engineering

Work Conditions

  • Participation in an on-call rotation may be required
  • Primarily remote work environment
  • Limited travel (<5%)

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