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.

Cabinet Maker / CNC Operator / Woodworker

Company: Cabinet Maker NYC

Location: Brooklyn, NY

Posted Aug 13, 2025

Interpret and execute technical drawings, shop drawings, and design plans with precision. Ability to read blueprints, technical drawings, and detailed…

Advanced Sales Engineer

Company: General Dynamics Mission Systems, Inc

Location: National City, CA

Posted Aug 13, 2025

This will entail researching and analyzing data, such as customer design proposals, specifications and manuals to determine feasibility of design or application…

Global Security - Security Officer Shift Manager

Company: JPMorganChase

Location: New York, NY

Posted Aug 13, 2025

You will have the opportunity to utilize your skills in critical infrastructure security operations, technical security, alarm management, and mobile…

Outside Sales Representative (BEAUTY) Brand Manager

Company: Paramount Beauty

Location: Manhattan, NY

Posted Aug 13, 2025

Current driver's license in good standing. Manage all aspects of the brand within a defined region and be able to demonstrate a working knowledge of the state…

Senior Data Scientist, Trust and Safety

Company: Etsy

Location: Brooklyn, NY

Posted Aug 13, 2025

We are looking for a Senior Data Scientist that will partner with the Trust and Safety Content groups under the broader Customer Operations organization, whose…

CONSTRUCTION WORKERS NEEDED* Bird Control Specialist – Installation & Maintenance

Company: Select Exterminating

Location: Queens, NY

Posted Aug 13, 2025

Valid driver’s license and clean driving record. Valid driver's license and OSHA 30 REQUIRED (OSHA 40 preferred)*. Competitive pay based on experience.

HVAC Technician

Company: The Richmond Group USA

Location: New York, NY

Posted Aug 13, 2025

If you have any type of technical training and/or mechanical ability *AND English is not your native language*, we want to hear from you. This is your…

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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