Qualified Applicants Opportunities Jobs in New York City, NY

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

Ironworker/Welder - With Clean Valid Drivers License

Company: Brookyn

Location: Brooklyn, NY

Posted Sep 07, 2025

A Brooklyn Ironworks Company need a skilled full time Ironworker - MUST HAVE Driving experience of at least 5 years/clean valid drivers license and ability to…

Senior Manager, Software Engineering, Full Stack

Company: Capital One

Location: New York, NY

Posted Sep 08, 2025

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding…

Senior Software Engineer

Company: Capital One

Location: New York, NY

Posted Sep 08, 2025

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.

Tax Auditor - Manhattan, NY

Company: Franchise Tax Board State of California Sacramento

Location: New York, NY

Posted Sep 08, 2025

We also offer CPA certification using general qualifying experience in accordance with the New York State Board of Accountancy rules and regulations.

Tax Technology and Transformation (Law Solutions) Legal and Contract Management Technology - Manager

Company: EY

Location: New York, NY

Posted Sep 07, 2025

Approved technical certification, CPA license or membership to state Bar or progress to attaining those mentioned. Tax and Legal function assessments.

Lead AI Engineer (GenAI Platform Services, Python)

Company: Capital One

Location: New York, NY

Posted Sep 08, 2025

Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency,…

Lead AI Engineer (AI Foundations, Python)

Company: Capital One

Location: New York, NY

Posted Sep 08, 2025

Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency,…

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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