Qualified Applicants Opportunities Jobs in Washington DC

81,626 open positions · Updated daily

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

Key Account Manager - Government

Company:

Location: Washington, DC

Posted Feb 03, 2025

Phlebotomist

Company: Labcorp

Location: Washington, DC

Posted Feb 03, 2025

Director, Government Affairs

Company: Mastercard

Location: Washington, DC

Posted Feb 03, 2025

Pharmacy Technician

Company: CVS Health

Location: Fort Washington, PA

Posted Feb 03, 2025

Senior Software Engineer (Full Stack)

Company: Capital One

Location: Washington DC

Posted Feb 03, 2025

Capital One is seeking a Full Stack Software Engineer with at least 3 years of experience. The role involves collaborating with Agile teams, designing and implementing technical solutions, and utilizing various programming languages and technologies. The company offers a competitive salary, comprehensive benefits, and a drug-free workplace. They are committed to diversity and inclusion, and will consider qualified applicants with a criminal history.

2025 Management & Sales Training Program

Company:

Location: Fort Washington, PA

Posted Feb 03, 2025

Offensive Security Engineer, Red Team X

Company: Meta

Location: Washington, DC

Posted Feb 03, 2025

Strategic Account Manager

Company: Fortune Brands Home & Security

Location: Washington DC

Posted Feb 03, 2025

Fortune Brands Innovations Inc. is seeking a Strategic Account Manager for their Moen brand. The ideal candidate will have a strong understanding of the multifamily industry and experience with large national accounts. The role involves developing and implementing sales plans, managing complex accounts, and collaborating with regional and divisional offices. The position is remote and based in Washington DC or Northern Virginia, with a base salary of $81,000 - $113,000. The company offers comprehensive benefits and a diverse, inclusive work environment.

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.

Related Pages