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Artificial Intelligence And Machine Learning Jobs in New Rochelle, NY

Compunnel

PHD AI/ML Data Scientist

New York, NY · On-site

... Artificial Intelligence, Machine Learning, advanced data modeling, and statistical analysis. The ideal candidate will have extensive experience designing, developing, validating, and deploying ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

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Artificial Intelligence And Machine Learning information

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for artificial intelligence and machine learning in New Rochelle, NY is $27.11, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $28.70 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

What cities near New Rochelle, NY are hiring for Artificial Intelligence And Machine Learning jobs?

Cities near New Rochelle, NY with the most Artificial Intelligence And Machine Learning job openings:

Artificial Intelligence And Machine Learning jobs near you
Infographic showing various Artificial Intelligence And Machine Learning job openings in New Rochelle, NY as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $56,396 per year, or $27.1 per hour.

AI/ML Governance Lead - Vice President

JPMorgan Chase & Co.

Manhattan, NY • On-site

$140 - $180/hr

Other

Re-posted 27 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

Join a team shaping responsible use of artificial intelligence, machine learning, and generative AI in a highly regulated environment. You will translate policy into practical processes, controls, and scalable tooling. You will provide transparency through executive reporting and help prepare responses for audit, regulatory, and client requests.

As an AI Governance Lead - Vice President within the Commercial & Investment Bank’s Digital, Data and Artificial Intelligence organization, you will help set and execute the governance framework that enables responsible adoption of artificial intelligence, machine learning, and generative AI. You will partner closely with risk, legal, compliance, and technology stakeholders to translate policy into clear processes, controls, and scalable tooling. You will drive transparency through executive reporting and ensure the organization is prepared for audit, regulatory, and client requests.

Job responsibilities
  • Support the definition and adoption of the in‑business analytics ownership operating model, including clear roles, responsibilities, and decision rights across stakeholders
  • Maintain and continuously improve artificial intelligence and machine learning governance documentation (procedures, charters, operating models, and job aids), including managing periodic reviews and refresh cycles
  • Partner with data science, architecture, engineering, and data stakeholders to assess impacts of new policies, standards, and procedures, and translate requirements into actionable implementation plans
  • Coordinate and drive end‑to‑end execution of Commercial & Investment Bank‑wide rollout plans, including communications, milestones, dependencies, and adoption tracking
  • Design and build executive‑ready governance reporting and dashboards that provide clear visibility into adherence, risk themes, and remediation progress
  • Partner with controls management to identify, document, and monitor artificial intelligence and machine learning risks, issues, and actions through established governance forums
  • Serve as a liaison and quality control point for audit, regulatory, and client inquiries, ensuring responses are accurate, consistent, and supported by evidence
  • Enhance and streamline governance by helping define and execute the strategic roadmap for governance tooling, including requirements definition and process standardization
  • Facilitate working sessions and stakeholder forums to drive alignment, resolve blockers, and promote consistent best practices across lines of business
Required qualifications, capabilities and skills
  • Formal training or certification on artificial intelligence and machine learning governance concepts and 5+ years applied experience
  • Experience delivering or governing artificial intelligence, machine learning, and generative AI solutions within financial services or a highly regulated environment
  • Demonstrated ability to partner effectively with senior stakeholders across risk, legal, compliance, controls, business, and technology teams
  • Strong written, verbal, and presentation skills, including advanced proficiency with Microsoft Excel and PowerPoint
  • Strong analytical and problem‑solving skills, with the ability to translate complex requirements into practical processes and controls
  • Proven ability to influence across teams, build consensus, and drive adoption without direct authority
  • Strong attention to detail with an ability to manage multiple initiatives, deadlines, and changes in priorities
  • Strong interpersonal skills and the ability to operate effectively in a fast‑moving, evolving environment
Preferred qualifications, capabilities and skills
  • Experience with data visualization and analytics tools such as Tableau, Qlik, or Alteryx
  • Familiarity with model risk management concepts and governance expectations for machine learning models
  • Knowledge of banking, markets, and trading, and how analytics is applied across those domains
  • Experience building executive reporting routines, metrics, and dashboards that support governance and control outcomes
  • Exposure to governance tooling implementation, workflow design, or controls automation initiatives
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