Qualified Applicants Opportunities Jobs in Atlanta, GA

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

Guest Advocate (Cashier or Front of Store Attendant/Cart Attendant) (T1380)

Company: Target

Location: Warner Robins, GA

Posted Jan 24, 2025

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Guest Advocate (Cashier or Front of Store Attendant/Cart Attendant) (T2301)

Company: Target

Location: Brunswick, GA

Posted Jan 24, 2025

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Specialty Sales (Style, Tech, Beauty) (T2091)

Company: Target

Location: Kennesaw, GA

Posted Jan 24, 2025

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Tax Sr. Manager, Sustainability Credits - National Federal Tax Services

Company: Deloitte

Location: Atlanta, GA

Posted Jan 24, 2025

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Senior Consultant, Tech Strategy, Global Office CTO

Company: Deloitte

Location: Atlanta, GA

Posted Jan 24, 2025

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Windows DevOps Engineer, Associate

Company: BlackRock

Location: Atlanta, GA

Posted Jan 24, 2025

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Embedded Engineer II IC (eInfochips Inc)

Company: Arrow Electronics

Location: Peachtree City, GA

Posted Jan 24, 2025

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Senior System Drives Application Design Engineer

Company: Schneider Electric

Location: Atlanta, GA

Posted Jan 24, 2025

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Contracts Lead Admin

Company: Deloitte

Location: Atlanta, GA

Posted Jan 24, 2025

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Shop Floor Coordinator 2nd shift (onsite)

Company: RTX

Location: Columbus, GA

Posted Jan 24, 2025

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Specialty Sales (Style, Tech, Beauty) (T1390)

Company: Target

Location: Norcross, GA

Posted Jan 24, 2025

View Details Apply on The Muse
topnotch IT solutions and support committed to safety and excellence skilled Desktop Support Engineer

Desktop Support Engineer

Company: Fire Safety and Protection, LLC

Location: Atlanta, GA

Posted Jan 24, 2025

Fire Safety and Protection LLC (FSP) is seeking a skilled Desktop Support Engineer with experience in Microsoft 365 (M365) and Azure. The role involves providing technical support, managing M365 and Azure environments, SharePoint administration, local network management, user training, and occasional travel. FSP values its employees, offering a supportive culture, career growth opportunities, and diverse locations. The company provides comprehensive benefits, including health insurance, retirement plans, and professional development programs. FSP is an equal opportunity employer.

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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