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.

Hvac Field Service Supervisor

Company: Petro Home Services

Location: Maspeth, NY

Posted Aug 04, 2025

Valid driver's license and clean driving record. It is important that you display excellent verbal and written communication, interpersonal, and active…

HVAC Service Technician

Company: HomeServe Energy Services

Location: Staten Island, NY

Posted Aug 04, 2025

For the 5 million Customers we serve, that means being there when they have an emergency home repair need, such as getting their a/c working, clearing their…

3D Visual Designer, Creative Technology & Strategy

Company: Amazon.com LLC

Location: New York, NY

Posted Aug 04, 2025

Bachelor’s degree in a relevant field such as visual communications or graphic design. Los Angeles County applicants: Job duties for this position include: work…

Company Flatbed Driver, $1100 paid orientation

Company: Boyd Bros. Transportation

Location: New York, NY

Posted Aug 04, 2025

Transportation is seeking eager CDL A truck drivers for flatbed company driver positions. *Top drivers earn up to $100,000 per year*. *$1,500 sign on bonus*.

Visual Designer, Zappos

Company: Zappos.com LLC

Location: New York, NY

Posted Aug 04, 2025

Knowledge of branding guidelines and corporate identity, visual design, print and digital layout design, with experience in designing for both mobile and…

Violin Teacher

Company: Noel Pointer Foundation

Location: Brooklyn, NY

Posted Aug 04, 2025

Minimum 2 years of teaching experience in a public school or after-school music program. Creative, flexible, and passionate about teaching music.

Workplace Manager

Company: GWI

Location: New York, NY

Posted Aug 04, 2025

You will be responsible for maintaining high operational standards across the New York office, working closely with the Global Workplace Director, vendors, and…

Software Development Engineer II, DSP

Company: Amazon.com Services LLC - A57

Location: New York, NY

Posted Aug 04, 2025

2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.

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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