Machine Learning Jobs in New York City, NY

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Looking for Machine Learning jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the New York City, NY area.

Customer Service Associate

Company: Walgreens

Location: New Orleans, LA

Posted Jan 24, 2025

Inventory Specialist

Company: Walgreens

Location: Hauppauge, NY

Posted Jan 24, 2025

Beauty and Wellness Consultant

Company: Walgreens

Location: Oklahoma City, OK

Posted Jan 24, 2025

The job description outlines responsibilities for a Beauty Consultant at Walgreens, focusing on maximizing sales and brand awareness through exceptional customer service. Key tasks include providing personalized advice, conducting mini-makeovers and skincare consultations, and leading in-store events. The role involves achieving sales goals, maintaining department standards, and engaging with customers through various channels. The ideal candidate should have retail sales experience, product knowledge, and strong interpersonal skills. Fluency in English is required, and a cosmetology or esthetician license is preferred. Walgreens, as a leading drugstore chain, offers a supportive work environment and opportunities for career growth.

Customer Service Associate

Company: Walgreens

Location: New Orleans, LA

Posted Jan 24, 2025

Pharmacy Operations Manager

Company: Walgreens

Location: Garden City, NY

Posted Jan 24, 2025

The role involves performing day-to-day non-clinical pharmacy operations, administrative tasks, and ensuring efficient workflow for a positive patient experience. The individual will serve as a full-time certified pharmacy technician, operating pharmacy systems, and processing prescriptions under a pharmacist's supervision. They will also supervise pharmacy technicians and cashiers, and be responsible for personnel selection, scheduling, and development. The role includes customer engagement, resolving complaints, and enhancing customer experience. Operations involve assisting in patient care, prescription data entry, and medication preparation. The individual will manage core pharmacy workflow, coordinate daily activities, and ensure the pharmacy is clean and stocked. They will also manage non-clinical patient calls, drive technology/process roll out, and maintain pharmacy equipment. People & Performance Management includes leading technician performance, hiring, onboarding, training, and scheduling. The role requires PTCB certification and one year of pharmacy technician experience.

Customer Service Associate

Company: Walgreens

Location: Tarrytown, NY

Posted Jan 24, 2025

Customer Technology Advisor

Company: Kyndryl

Location: Mexico City, Mexico

Posted Jan 24, 2025

Customer Service Associate

Company: Walgreens

Location: Rome, NY

Posted Jan 24, 2025

Pharmacy Manager

Company: Walgreens

Location: Oklahoma City, OK

Posted Jan 24, 2025

Pharmacy Customer Service Associate

Company: Walgreens

Location: Garden City, NY

Posted Jan 24, 2025

The job description involves delivering a distinctive and delightful customer experience, including greeting customers, offering assistance, resolving issues, and ensuring positive interactions. The role also includes operating a cash register, processing prescriptions under pharmacist supervision, maintaining store cleanliness, and assisting with inventory management. The employee is expected to adhere to company policies, maintain knowledge of healthcare and pharmacy developments, and handle various clerical tasks. PTCB certification is preferred but not mandatory.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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