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

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 ...

Aftermarket Engineer

Kingston, NY · On-site

$75K - $92K/yr

At JBT Marel , we're looking for an After Job Market Engineer to design, test, and evaluate mechanical systems for food equipment machinery. You'll work closely with cross-functional teams to define ...

Aftermarket Engineer

Kingston, NY · On-site

$75K - $92K/yr

At JBT Marel , we're looking for an After Job Market Engineer to design, test, and evaluate mechanical systems for food equipment machinery. You'll work closely with cross-functional teams to define ...

Data Engineer

Carmel, NY · On-site

$75 - $85/hr

You will receive competitive rewards and access to benefits programs and world-class learning ... As a Data Engineer, you will be responsible for designing, developing, and maintaining data ...

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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 Jun 13, 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

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-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies 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 they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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:
Industry X - Engineering Consulting Senior Manager - Functional Lead (Engineering & PLM)

Industry X - Engineering Consulting Senior Manager - Functional Lead (Engineering & PLM)

Accenture

Carmel, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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

45th of 427 rated business services


Job description

This role can sit anywhere in the US if it is near an Accenture Corporate Office

WHO WE ARE:

We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X

THE PRACTICE:

This role will align to Industry X's R&D Design & Engineering practice.

R&D Design and Engineering professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, data and AI, to drive competitiveness while ensuring business results.

Engineering Consultants define and design the end-state product engineering organizational, operational, and technical models to enable modernization of core engineering functions and the ability to start introducing software, analytics, and cloud into the products.

THE WORK:

The Engineering Consulting Senior Manager - Functional Lead (Engineering & PLM) role leads client engagements focused on engineering transformation, product development optimization, and PLMenabled process modernization. This role is responsible for owning functional solution definition, guiding teams through requirements and process design, and ensuring PLM solutions align to engineering, business, and regulatory objectives.

Senior Managers in this role serve as trusted advisors to a client's engineering and product leadership, bridging strategy and execution by translating complex engineering needs into scalable technologyenabled operating models and functional designs. They help to define and design the end-state product engineering organizational, operational, and technical models to enable modernization of core engineering functions and the ability to start introducing software, analytics, and cloud into the products.

You will support our clients across a broad range of industries to address their issues related to:

  • Engineering transformations which optimize organization structure, new product development processes, R&D spend and product lifecycle management systems
  • Digitizing the Engineering function with technologies like Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, etc.
  • Zero-based product cost management through value analysis, value engineering and Design to Value assessments
  • Product Strategies including Product as a Service, Platform Ecosystems and Sustainable Products
  • Innovation Management and Product Portfolio Optimization balancing voice of customer and cost to serve

You will work closely with our clients and internal teams to:

  • Lead current state and future state analysis of engineering and product development processes, including:
    • Product structure and BOM management
    • Part, document, and configuration management
    • Engineering change, release, and lifecycle governance
    • Requirements, quality, and compliance processes
  • Define end to end functional solution designs that leverage PLM capabilities to support business and engineering outcomes
  • Own functional requirements, process models, and user stories across one or more PLM workstreams
  • Guide development of Digital Thread / PLM strategies and roadmaps, including capability prioritization and phased transformation plans

You will be responsible for project functional leadership and solution oversight

  • Act as the functional lead for PLM and engineering transformation initiatives (e.g., Teamcenter, Windchill, ENOVIA, Aras, Oracle PLM), partnering with architects and technical leads
  • Oversee functional design of data models, lifecycles, workflows, and governance structures
  • Ensure functional consistency across process, data, and technology decisions
  • Lead or oversee testing, validation, and business acceptance activities from a functional perspective

You will be responsible for client and stakeholder management

  • Serve as the primary functional point of contact for engineering, product, and business stakeholders
  • Facilitate and lead executivelevel and workinglevel workshops to drive alignment and decisionmaking
  • Communicate complex engineering and PLM / Digital Thread concepts clearly to both technical and nontechnical audiences
  • Build and maintain strong client relationships grounded in credibility and delivery excellence

You will also, throughout your work, have opportunities to:

  • Lead and mentor consultants and senior consultants and small (2-5 people) to medium (6-15) sized teams, providing functional guidance and career development support
  • Manage functional workplans, dependencies, risks, and deliverables within broader delivery programs
  • Contribute to delivery governance, status reporting, and issue resolution
  • Support proposal development, estimates, and functional scope definition for new work
  • Challenge legacy ways of working using constructive techniques that fuel client growth
  • Contribute to delivery standards, methodologies, and assets within Engineering Consulting
  • Support account growth through delivery excellence, client trust, and identification of followon opportunities
  • Act as a role model for Accenture's values, leadership expectations, and delivery discipline
  • Drive a positive impact in the communities where we work and live

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

HERE'S WHAT YOU'LL NEED:

  • Minimum 6 years of experience working on engineering improvement initiatives
  • Minimum of 2 years of experience working in a Fortune 500 company, contributing to a dynamic and high-performance work environment
  • Experience facilitating requirement gather workshops and process design sessions
  • Strong background in product engineering, R&D, manufacturing, or engineering systems
  • Experience in one or more priority client Industries:
    • Aerospace & Defense
    • Automotive
    • Consumer Goods & Services
    • Medical Technology
    • High Tech
    • Industrial Equipment
  • Experience with Engineering systems and platforms such as:
    • ERP
    • Dassault 3DX
    • Microsoft CoPilot
    • PTC Windchill
    • SAP PLM
    • Siemens Teamcenter

BONUS POINTS IF YOU HAVE:

  • Prior experience in a consulting environment (Big 4 or global systems integrator preferred)
  • Familiarity with Agile or hybrid delivery methods
  • Demonstrated ability to manage teams and client stakeholders
  • Experience delivering transformation involving PLM, digital thread, cloud, data, or AI-enabled engineering
  • Experience related to key technologies (Digital Thread / Twin, MBSE, Robotic Process Automation, Machine Learning, Artificial Intelligence, etc.)
  • Previous engineering experience
  • Experience with CAD and PLM systems
  • Experience with largescale PLM implementations or transformations
  • Ability to effectively manage and coach others
  • A collaborative mindset, are a team player
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Bachelor's degree or equivalent (minimum 8 years' work experience). If associate's degree, must have equivalent minimum 6-year work experience. Industrial or engineering degree is preferred

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 04/06/2026.

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 $94,400 to $293,800

Cleveland $87,400 to $235,000

Colorado $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Maryland $94,400 to $253,800

Massachusetts $94,400 to $270,300

Minnesota $94,400 to $253,800

New York $87,400 to $293,800

New Jersey $100,500 to $293,800

Washington $100,500 to $270,300

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.

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