Qualified Applicants Opportunities Jobs in Remote

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Looking for Qualified Applicants Opportunities jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Qualified Applicants Opportunities position in the Remote area.

Price Comparison Customer Experience Product Manager, Shopping (Remote-Eligible)

Company: Capital One

Location: San Francisco, CA / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Manager, Product Software (Platform and Identity Management)

Company: Equinix, Inc

Location: Remote

Posted Jan 25, 2025

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Principal, Business Development

Company: Headway

Location: Remote

Posted Jan 25, 2025

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Sr. Software Engineer, SDET - Windows Detections Platform Team (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 25, 2025

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Business Development Executive, Medical - TX

Company: Henry Schein

Location: Remote

Posted Jan 25, 2025

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Senior Fullstack Engineer

Company: Sotheby's

Location: Remote

Posted Jan 25, 2025

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Specialist Sales Manager - Identity Protection (Remote, GBR)

Company: CrowdStrike

Location: Remote

Posted Jan 25, 2025

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Sr. Software Engineer - Geospatial Technology

Company: Esri

Location: Remote

Posted Jan 25, 2025

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Artificial Intelligence/Machine Learning (AI/ML) Solution Architect/Engineer

Company: Leidos

Location: Remote

Posted Jan 25, 2025

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Processing Operations Manager

Company: Hometap

Location: Boston, MA / Remote

Posted Jan 25, 2025

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Strategic Account Executive

Company: Benchling

Location: Remote

Posted Jan 25, 2025

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global leader and innovator of advanced security solutions defend more than 600000 organizations and more than 100 million users worldwide provide legal support and advice to a growing cyber security business

Senior Legal Counsel

Company: Sophos

Location: Remote

Posted Jan 25, 2025

Sophos, a global leader in cybersecurity, is seeking a Senior Legal Counsel with commercial legal experience, particularly in an IT environment. The role involves negotiating contracts, advising on legal risks, managing internal queries, and improving business processes. The ideal candidate will have a Juris Doctor degree, at least 8 years of commercial legal experience, strong negotiation skills, and the ability to work independently. Sophos offers a competitive salary range, comprehensive benefits, and a remote-first working model.

View Details Apply on BuiltIn

Frequently Asked Questions

What are the typical salary ranges for Qualified Applicants Opportunities by seniority?
Entry‑level AI/ML roles usually pay between $90,000 and $120,000 annually. Mid‑level positions range from $120,000 to $160,000, while senior roles can command $160,000 to $200,000. Lead or manager positions often exceed $200,000, reaching up to $250,000 in high‑cost‑of‑living markets or for highly specialized expertise.
What skills and certifications are required for these positions?
Core technical skills include Python, R, SQL, and statistical libraries. Proficiency with TensorFlow, PyTorch, scikit‑learn, and cloud‑native AI services (AWS SageMaker, Azure ML, GCP AI Platform) is essential. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer, and Kaggle Distinction demonstrate mastery and are highly valued.
Is remote work available for Qualified Applicants Opportunities?
Yes, approximately 80% of listings list remote or hybrid arrangements. Remote teams rely on tools like Slack, GitHub, MLflow, and cloud notebooks (Colab, SageMaker Studio) to collaborate across time zones while maintaining code quality and version control.
What career progression paths exist in this field?
Typical progression starts with a Data Analyst or Junior Data Scientist, advancing to Senior Data Scientist or ML Engineer. From there, professionals can move into Lead ML Engineer, AI Architect, or Director of AI/ML, often taking on strategic product direction and cross‑functional leadership responsibilities.
What industry trends are shaping Qualified Applicants Opportunities?
Key trends include the rise of edge AI for IoT devices, federated learning for privacy‑preserving models, increased focus on AI ethics and explainability, and the rapid deployment of AI in healthcare diagnostics and drug discovery. Companies are also investing in automated ML pipelines and no‑code AI platforms to democratize model development.

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