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.

Influencer Marketing Manager, Amazon MGM Studios

Company: Amazon.com

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…

Experienced Mason Wanted

Company: Confidential

Location: New York, NY

Posted Aug 11, 2025

16 hour scaffold certification is required as well as 40 hour SST card. Must be capable to perform brick pointing, brick replacement and lintel replacement.

Housekeeping Worker part time*

Company: The New Jewish Home

Location: New York, NY

Posted Aug 11, 2025

Wash walls, windows, furniture, baseboards and other items needed to maintain a clean safe. environment for our residents, visitors and staff.

AWS Solutions Architect

Company: InfiCare

Location: Redwood City, CA

Posted Aug 11, 2025

Bachelor's degree in Computer Science, Information Technology, or related field. AWS Certified Solutions Architect certification.

Cyber Risk Management Analyst

Company: Flagstar Bank

Location: New York, NY

Posted Aug 11, 2025

Provide independent, proactive oversight and challenge of Cyber risk management at the Bank through execution of risk framework elements including RCSA, control…

Pastry Sous Chef - Eataly Flatiron

Company: Eataly

Location: New York, NY

Posted Aug 11, 2025

Availability to work onsite with a flexible schedule often including evenings and weekends. SHOP a selection of high-quality Italian, local and homemade…

Shade Installer

Company: Audio Command Systems

Location: Westbury, NY

Posted Aug 11, 2025

Valid driver’s license and reliable transportation to job sites. Document installation progress, field conditions, and final sign-off.

Technology Risk Management Analyst

Company: Flagstar Bank

Location: New York, NY

Posted Aug 11, 2025

Provide independent, proactive oversight and challenge of IT risk management at the Bank through execution of risk framework elements including RCSA, control…

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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