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Machine Learning Engineer Jobs in Wallkill, NY (NOW HIRING)

Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Senior Engineer Electrical

New Milford, CT · On-site

$111K - $145K/yr

... skill to drive learning as well as strategy for future projects/initiatives. * Prepare and ... TM - Stock Prep, wastewater, Chemical handling, Utilities, and Tissue machine operations.

Senior Engineer Electrical

New Milford, CT · On-site

$111K - $145K/yr

... skill to drive learning as well as strategy for future projects/initiatives. * Prepare and ... TM - Stock Prep, wastewater, Chemical handling, Utilities, and Tissue machine operations.

Mechanical Engineer II

Kingston, NY · On-site

$75K - $110K/yr

To build the maintenance and mechanical design of machinery, layouts, assemblies and components, to ... Enjoy learning and researching * Ability and interest in working with a multicultural company. * Is ...

Mechanical Engineer II

Kingston, NY · Hybrid

$75K - $110K/yr

To build the maintenance and mechanical design of machinery, layouts, assemblies and components, to ... Enjoy learning and researching * Ability and interest in working with a multicultural company. * Is ...

The Bureau of Water Supply seeks to hire a Civil Engineer II to serve as the Catskill Regional ... machinery. This position is also responsible for overseeing all Capital Projects in the Section ...

New

The Bureau of Water Supply seeks to hire a Civil Engineer II to serve as the Catskill Regional ... machinery. This position is also responsible for overseeing all Capital Projects in the Section ...

New

Partner closely with engineering teams to evaluate prototypes, guide product trade-offs, and ... machine learning product roles within technology, fintech, or financial services. * Proven ...

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Showing results 1-20

Machine Learning Engineer information

See Wallkill, NY salary details

$31.5K

$128.7K

$193.4K

How much do machine learning engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for machine learning engineer in Wallkill, NY is $128,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Wallkill, NY are hiring for Machine Learning Engineer jobs? Cities near Wallkill, NY with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Wallkill, NY as of July 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $128,728 per year, or $61.9 per hour.
AI/ML Computational Science Specialist

AI/ML Computational Science Specialist

Accenture

Carmel, NY • On-site

$70K - $205K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

51st of 454 rated business services


Job description

We Are:
The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.

Position Responsibilities:

  • Collaborate with stakeholders to engineer innovative solutions for new system roll-outs, enhancements, and maintenance of existing applications, ensuring adherence to programming standards.

  • Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work.

  • Design/Build solutions using AI services and machine learning models to address unique use cases, employing cutting-edge techniques and methodologies.

  • Utilize machine learning and advanced AI techniques to extract valuable insights from complex datasets and solve intricate problems.

  • Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.

  • Design and implement agents and multi-agent architectures to optimize client workflows.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Job Qualifications Here's what you need:

  • Minimum of 3 years of full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science

  • Minimum of 2 years of experience in machine learning, deep learning, or demonstrated proficiency in Natural Language Processing (NLP)

  • Minimum of 2 years of experience with AI/ML and cognitive services provided by at least one cloud service provider

  • Minimum of 1 year of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution

  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Bonus points if you have:

  • Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 06/25/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $70,350 to $205,800

Cleveland $59,100 to $164,600

Colorado $63,800 to $177,800

District of Columbia $68,000 to $189,300

Illinois $59,100 to $177,800

Maine $54,400 to $151,400

Maryland $63,800 to $177,800

Massachusetts $63,800 to $189,300

Minnesota $63,800 to $177,800

New York $66,300 to $205,800

New Jersey $68,000 to $205,800

Virginia $59,100 to $189,300

Washington $80,200 to $189,300

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


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