Qualified Applicants Opportunities Jobs in Washington DC

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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.

Applications Developer - Expert

Company:

Location: Washington, DC

Posted Feb 03, 2025

Senior Network Engineer

Company:

Location: Washington, DC

Posted Feb 03, 2025

ALM Actuary

Company: MassMutual

Location: Washington DC

Posted Feb 03, 2025

MassMutual is seeking a passionate and experienced actuary to join their Annuity ALM & Hedging team. The role involves owning all components of ALM for retail income annuities and institutional business, including business relationships, production, and ad-hoc analysis. The individual will also assist in cross-company initiatives and maintain ALM processes. The ideal candidate will have a Fellow of the Society of Actuaries (FSA) or Chartered Financial Analyst (CFA) designation, 7+ years of experience in actuarial business functions and risks, investments, ALM, or hedging, and proficiency in programming languages and actuarial software products. The role offers opportunities for continuous learning, mentorship, and networking within the organization.

Software Developer Sr. TS/SCI REQUIRED

Company:

Location: Washington, DC

Posted Feb 03, 2025

Cloud Engineer- TS/SCI Required

Company:

Location: Washington, DC

Posted Feb 03, 2025

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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