Challenging Opportunities For You To Learn And Grow Professionally Jobs in New York City, NY

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the New York City, NY area.

Special Educator (Birth - Grade 2)

Company: Bloomer Health

Location: New York, NY

Posted Aug 11, 2025

Therapists can create their own schedule and workload based on personal availability and preferences, and, be a part of a care team that will include the family…

Investigative Analyst

Company: New York County District Attorney's Office

Location: New York, NY

Posted Aug 11, 2025

Level 1 – bachelor’s degree from an accredited college and one (1) year of experience either as a paralegal in the criminal justice field or equivalent.

Project Manager

Company: JRM Construction Management, LLC

Location: New York, NY

Posted Aug 11, 2025

Acquire a thorough understanding of project requirements and objectives; review all project documents, including drawings, specifications, contracts, scope of…

Product Manager - Flooring Wholesaler

Company: Confidential

Location: New York, NY

Posted Aug 11, 2025

Sample Manufacturing: Work with Sample leadership and manufacturing to get new products and marketed programs to market in a timely fashion as well as manage…

OBGYN

Company: OBStat

Location: Carmel Hamlet, New York

Posted Aug 11, 2025

Retail Sales Associate, Flushing - Part Time

Company: Macy’s

Location: Flushing, NY

Posted Aug 11, 2025

Frequent use of computers and other technology, necessary to perform job functions, including handheld equipment, cash register and ability to process register…

Influencer Marketing Manager, Amazon MGM Studios

Company: Metro-Goldwyn-Mayer Studios Inc.

Location: Culver City, CA

Posted Aug 11, 2025

Experience in influencer marketing, social media, marketing, or a related field. You are fluent in social marketing best practices and know how to collaborate…

AI Product Engineer

Company: Ramp Financial

Location: New York, NY

Posted Aug 11, 2025

Fluency with modern LLM platforms and AI-assisted engineering tools (e.g., Cursor, Claude Code), with a bias toward rapid experimentation and a working…

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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