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.

Data Analyst

Company: Optimum

Location: Long Island City, NY

Posted Aug 06, 2025

Position requires a Master’s degree in Computer Science, Information Technology, Business Administration, or a related field, and 3 years of experience with…

Construction Excavation Laborer

Company: Seylone

Location: New York, NY

Posted Aug 06, 2025

Mandatory OSHA 30 certification with a 10-Hour SST; 40-Hour HAZWOPER certification preferred. Transport equipment and materials to and from sites safely if in…

ESL Teacher

Company: Campus Education

Location: New York, NY

Posted Aug 06, 2025

\*The candidate must be a certified TESOL teacher or with equivalent teaching certification. The candidate must be responsible and innovative in providing…

Marketing/Business Development Manager

Company: MOUND COTTON WOLLAN & GREENGRASS

Location: New York, NY

Posted Aug 06, 2025

Drive coordination and planning of local events; work with attorneys to plan CLE content; develop targeted invitation lists to ensure key audience inclusion.

Senior Graphic Designer

Company: PVE LLC

Location: New York, NY

Posted Aug 06, 2025

Digital & Interactive Design: UI design (buttons, layouts, interactions), Web and mobile design (responsive layouts, design systems), Basic HTML/CSS…

Security Supervisor - Field Support

Company: GardaWorld Security Services US (IHE)

Location: Studio City, CA

Posted Aug 06, 2025

You have a state security license (BSIS Guard Card) and additional 32hr BSIS security trainings (Additional security trainings can be obtained during the hiring…

Senior Information Security Compliance Analyst

Company: Motorola Solutions

Location: Culver City, CA

Posted Aug 06, 2025

The ideal candidate will have a strong understanding of compliance frameworks, excellent analytical skills, and the ability to communicate effectively with both…

Controller - New York, NY - Part-Time

Company: Your Part-Time Controller, LLC

Location: New York, NY

Posted Aug 06, 2025

4 WEEKS PAID TIME OFF, generally consisting of 100 hours paid vacation to start with eligibility for additional vacation based on tenure and a minimum 40 hours…

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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