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.

Chef de Cuisine

Company: Restaurant Associates

Location: New York, NY

Posted Aug 13, 2025

Holiday Time Off (varies by site/state). Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state,…

JanSport & Eastpak: Graphic Designer (JanSport & Eastpak Americas)

Company: Kipling

Location: Jersey City, NJ

Posted Aug 14, 2025

Lead all graphic design for emails, digital advertising, content, and social engagement needs, etc. Experience with motion graphics, animation & front-end web…

Project Manager, Creative Studios

Company: Disney

Location: New York, NY

Posted Aug 13, 2025

Creative Studios is the in-house creative agency for B2B communications, responsible for putting together physical and virtual events, visual presentations,…

Global Practice Architect, Data IV, Google Cloud

Company: Google

Location: New York, NY

Posted Aug 13, 2025

You will orchestrate across numerous contributing teams including Solutions, Services, Partners, Product Engineering, Marketing, and GTM stakeholder…

Parks and Recreation Aide 5-7 (Seasonal Park Environmental Education)

Company: Parks, Recreation & Historic Preservation, Office of

Location: New York, NY

Posted Aug 13, 2025

Employee will help educators develop social media content, design temporary exhibits, and create other content as needed.

Senior Project Manager

Company: Fidelis Care

Location: Long Island City, NY

Posted Aug 13, 2025

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time…

CHEF DE CUISINE

Company: Restaurant Associates

Location: New York, NY

Posted Aug 13, 2025

Holiday Time Off (varies by site/state). Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state,…

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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