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.

Executive Chef Luxury

Company: Sunrise Senior Living

Location: New York, NY

Posted Jul 15, 2025

Degree or certification in Culinary Arts from an accredited institution or equivalent experience. Covid-19 and Influenza vaccination is only required to the…

[MIDASoft] Sales Associate

Company: MIDASoft, Inc.

Location: New York, NY

Posted Jul 15, 2025

Manage license renewals, promotions, and product updates. The ideal candidate will focus on driving sales, nurturing customer relationships, and supporting…

Lyric HCM Client Service Consultant III

Company: ADP

Location: New York, NY

Posted Jul 15, 2025

Your time will be spent on technical activities, contributing to projects, and utilizing analysis to solve problems.

CDL B Truck Driver - Queens NY

Company: Fauna Foods Corp.

Location: Elmhurst, NY

Posted Jul 15, 2025

Current and valid CDL-Class B license with an Air Brakes endorsement. Experience driving in the New York tri-state area within a 100-mile radius including all…

Carpenter

Company: Housing Works

Location: New York, NY

Posted Jul 15, 2025

Assisting with plumbing, Door locks, installations, laying out of tools, and performing several other repairs. Assist in preparing for any/all new projects.

Production Operator

Company: Kelly Services

Location: Union City, CA

Posted Jul 15, 2025

In addition, employees are entitled to earn paid sick leave under the applicable state or local plan. Engage in development/review of procedures, documentation,…

Marketing Manager (Bilingual Mandarin) - 30232 - CY

Company: Comrise, Inc.

Location: New York, NY

Posted Jul 15, 2025

Provide strategic guidance to diverse channel teams including social media, creative, analytics, and communications. Pay: $100,000.00 - $160,000.00 per year.

Lead Software Engineer, Full Stack (Bank Tech)

Company: Capital One

Location: New York, NY

Posted Jul 15, 2025

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

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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