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Freelance Machine Learning Engineer Jobs in Rochester, NY

Paychex

AI Engineer

Rochester, NY · On-site +1

$124K - $160K/yr

Overview The AI Engineer will play a crucial role in developing and implementing artificial ... Design, develop, and implement machine learning and deep learning models to address various ...

University of Rochester

Lead AI/ML Engineer

Rochester, NY · On-site

$90K - $175K/yr

You'll work alongside physicists, chemists, and engineers to architect and deploy machine learning solutions that accelerate scientific discovery and enable real-time decision-making. Key areas ...

Pwc

Pharma Technology Consultant Manager

Rochester, NY · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

New

DataAnnotation

SDLC Engineer - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

QA Engineer - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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All JobsFreelance Machine Learning Engineer JobsFreelance Machine Learning Engineer Jobs in Rochester, NY

Freelance Machine Learning Engineer information

See Rochester, NY salary details

$14

$47

$130

How much do freelance machine learning engineer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for freelance machine learning engineer in Rochester, NY is $47.07, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $60.96 per hour, depending on experience, location, and employer.

What does a Freelance Machine Learning Engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

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

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

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

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are the most commonly searched types of Machine Learning Engineer jobs in Rochester, NY? The most popular types of Machine Learning Engineer jobs in Rochester, NY are:
What are popular job titles related to Freelance Machine Learning Engineer jobs in Rochester, NY? For Freelance Machine Learning Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Engineer jobs in Rochester, NY look for? The top searched job categories for Freelance Machine Learning Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Freelance Machine Learning Engineer jobs? Cities near Rochester, NY with the most Freelance Machine Learning Engineer job openings:
Freelance Machine Learning Engineer jobs near you
Infographic showing various Freelance Machine Learning Engineer job openings in Rochester, NY as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $97,907 per year, or $47.1 per hour.
AI Engineer

AI Engineer

Paychex

Rochester, NY • On-site, Remote

$124K - $160K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago

Paychex rating

7.4

Company rating: 7.4 out of 10

Based on 156 frontline employees who took The Breakroom Quiz

182nd of 430 rated business services

Job description

Imagine Your Future with Us! Since 1971, Paychex has been at the forefront of simplifying HR, payroll, and benefits for American businesses. Our digital HR technology and advisory solutions cater to the changing needs of employers and their employees. With our award-winning training and endless opportunities for growth and development, you can build a lifelong career with us. We pride ourselves on fostering an inclusive and innovative culture. Our leaders are here to support your career journey; they and our dedicated employees embody the values that drive us to support each other, our clients, and our communities. Join us to pursue your passion and unleash your potential.
Overview
The AI Engineer will play a crucial role in developing and implementing artificial intelligence solutions that enhance our internal corporate services, client facing applications, and improve our customer experiences
Responsibilities
  • Design, develop, and implement machine learning and deep learning models to address various challenges and build out AI functionality for our clients.
  • Train, validate, and fine-tune AI models using state-of-the-art techniques and libraries, and assess their performance using appropriate metrics.
  • Deploy AI models into production environments, collaborate with DevOps and IT teams to ensure seamless integration, and monitor model performance in real-time.
  • Stay up-to-date with the latest advancements in AI and financial technology, and apply innovative solutions to solve complex HR and Payroll problems.
  • Leads creation of data analytics capability for identifying key performance drivers and action plans to continuously improve performance and competitiveness.
  • Collaborate with cross-functional teams, including data scientists, software developers, and business analysts, to drive AI initiatives and projects.
  • Maintain comprehensive documentation of AI models, data pipelines, and processes.

    • Qualifications
    • Bachelor's Degree in Computer Science, Data Science, Engineering, or a related field - Required
    • 1 year of experience in developing and deploying machine learning and deep learning models, preferably in a financial or fintech setting.
    • 5 years of experience in Developing Software Solutions.
    • 2 years of experience in cloud platforms (e.g. AWS, Azure, Google Cloud) and containerization technologies (e.g. Docker, Kubernetes) is advantageous.
    • 2 years of experience in data preprocessing, feature engineering, and model evaluation techniques.
    • 1 year of experience in LLM tuning and tools like LangChain.
    • Applicants must be authorized to work for any employer in the US.  Paychex is unable to sponsor or take over sponsorship of an employment Visa at this time

    Compensation
    In the spirit of pay transparency, we are excited to share that the starting base pay range for this position is $124,000 - $160,000 annually. Please keep in mind that this range is the base pay only and does not consider other components that make up the total rewards package for the position. If you are hired at Paychex, your overall compensation will be determined based on factors such as geographic location, skills, education, and/or experience which may result in total compensation outside of this range.
    Live the Paychex Values
  • Act with uncompromising integrity.
  • Provide outstanding service and build trusted relationships.
  • Drive innovation in our products and services and continually improve our processes.
  • Work in partnership and support each other.
  • Be personally accountable and deliver on commitments.
  • Treat each other with respect and dignity.

    • What's in it for you?
    • We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.
    • We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.
    • We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.
    • We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.
    • We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.

      • Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.

      Not sure if you meet every requirement?
      At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us.

      Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.Qualifications:
      • Bachelor's Degree in Computer Science, Data Science, Engineering, or a related field - Required
      • 1 year of experience in developing and deploying machine learning and deep learning models, preferably in a financial or fintech setting.
      • 5 years of experience in Developing Software Solutions.
      • 2 years of experience in cloud platforms (e.g. AWS, Azure, Google Cloud) and containerization technologies (e.g. Docker, Kubernetes) is advantageous.
      • 2 years of experience in data preprocessing, feature engineering, and model evaluation techniques.
      • 1 year of experience in LLM tuning and tools like LangChain.
      • Applicants must be authorized to work for any employer in the US.  Paychex is unable to sponsor or take over sponsorship of an employment Visa at this time
      Education:UNAVAILABLEEmployment Type: FULL_TIME

    What Paychex employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

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    About Paychex

    Sourced by ZipRecruiter

    Consult with America's businesses, leveraging Paychex key referral channels and partnerships to educate stakeholders on our services, and provide consultative solutions to increase market share and drive revenue.

    Industry

    Human resources consulting services

    Company size

    10,000+ Employees

    Headquarters location

    Rochester, NY, US

    Year founded

    1971

    Social media

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