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Ml Platform Engineer Jobs in Rochester, NY (NOW HIRING)

... platforms. The Systems Engineer is expected to leverage Artificial Intelligence (AI) and Machine Learning (ML)-enabled tools to improve operational efficiency, accelerate issue resolution, and ...

AI Security Engineer Senior Manager

Rochester, NY · On-site

$113K - $154K/yr

Architect Secure AI Solutions Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines. Drive Standards and ...

Carrier Voice Engineer

Victor, NY · On-site

$75K - $95K/yr

This role requires deep expertise in VoIP, SIP, TDM, SBC platforms, voice security, fraud ... Experience with AI/ML, automation, scripting, or analytics used for fraud detection, anomaly ...

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

... , and FinOps principles. • Experience architecting data platforms and integrating AI/ML services. • Able to independently set up and configure cloud AI services and their supporting resources (e ...

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

... , and FinOps principles. • Experience architecting data platforms and integrating AI/ML services. • Able to independently set up and configure cloud AI services and their supporting resources (e ...

Sr. Data Engineer

Rochester, NY · On-site

$145K - $165K/yr

Architect and own scalable, high-performance data platforms and pipelines on AWS, not just maintain ... Bonus Points (Nice-to-Haves) * Experience with GenAI , AI/ML frameworks, and MLOps.

Sr. AI FDE

Rochester, NY · On-site

$145K - $165K/yr

... , and FinOps principles. • Experience architecting data platforms and integrating AI/ML services. • Able to independently set up and configure cloud AI services and their supporting resources (e ...

Sr AWS Cloud Engineer-APD

Rochester, NY · On-site

$145K - $165K/yr

Sr. Cloud Engineer(s) About the Role Our Cloud Engineers design, build, and support secure, high ... Exposure to data-platform services and AI/ML tooling. Why You'll Love It Here * Our Product is Our ...

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Ml Platform Engineer information

See Rochester, NY salary details

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How much do ml platform engineer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for ml platform engineer in Rochester, NY is $63.10, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $72.84 per hour, depending on experience, location, and employer.

What are ML Platform Engineers?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What are the key skills and qualifications needed to thrive as an ML Platform Engineer, and why are they important?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.
What are popular job titles related to Ml Platform Engineer jobs in Rochester, NY? For Ml Platform Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Ml Platform Engineer jobs in Rochester, NY look for? The top searched job categories for Ml Platform Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Ml Platform Engineer jobs? Cities near Rochester, NY with the most Ml Platform Engineer job openings:
Systems Engineer I

Systems Engineer I

Paychex

Webster, NY • On-site

Full-time

Medical, Retirement, PTO

Posted 5 days ago


Paychex rating

7.3

Company rating: 7.3 out of 10

Based on 175 frontline employees who took The Breakroom Quiz

220th of 488 rated business services


Job description

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a singleconnected HCM platform. As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better business outcomes. This is an exciting time to join our team as we continue to invest in innovation, simplify client experiences, and shape the future of work. At Paychex, you'll have the opportunity to grow your career, make a meaningful impact, and be part of something bigger as One Paychex.
Overview

Under moderate supervision, the Systems Engineer is responsible for designing, implementing, supporting, and continuously improving enterprise infrastructure platforms that enable critical business applications and services. This role provides operational support while driving automation, standardization, and infrastructure modernization across Linux and Windows environments.

The Systems Engineer installs, configures, maintains, and upgrades server hardware, operating systems, middleware, and supporting infrastructure. The role proactively monitors system health, troubleshoots complex technical issues, and implements solutions that improve availability, reliability, security, and performance across the enterprise.

Success in this position requires an engineering mindset focused on Infrastructure as Code (IaC), automation, continuous improvement, and operational excellence. The engineer develops reusable automation, self-service capabilities, and standardized deployment processes that reduce manual effort and increase service reliability.

This position works within cross-functional Agile Delivery Teams alongside Software Engineers, Quality Engineers, Product Owners, Solution Architects, Scrum Masters, Security Engineers, and Platform Engineers to deliver infrastructure solutions that support Paychex's Software-as-a-Service (SaaS) platforms.
The Systems Engineer is expected to leverage Artificial Intelligence (AI) and Machine Learning (ML)-enabled tools to improve operational efficiency, accelerate issue resolution, and enhance the overall reliability of enterprise infrastructure. The engineer will evaluate emerging AI capabilities and incorporate them into infrastructure operations where appropriate while adhering to organizational governance and security standards.


Responsibilities
  • Design, deploy, configure, administer, and support enterprise Linux and Windows server environments.
  • Perform operating system, application, and infrastructure upgrades while ensuring system stability and minimal business disruption.
  • Troubleshoot complex infrastructure, operating system, networking, and application issues across development, test, and production environments.
  • Develop and maintain Infrastructure as Code, configuration management, and automation solutions to improve deployment consistency and operational efficiency.
  • Build self-service capabilities and automated workflows that reduce manual intervention and improve customer experience.
  • Monitor infrastructure performance, capacity, availability, and security, implementing proactive improvements and automated remediation where appropriate.
  • Participate in production support, incident response, root cause analysis, and problem management activities during both business and non-business hours as required.
  • Create and maintain technical documentation, operational standards, runbooks, and engineering best practices.
  • Partner with Security, Networking, Cloud, Storage, Database, and Application Development teams to design scalable, resilient infrastructure solutions.
  • Continuously evaluate emerging technologies and recommend improvements that enhance operational efficiency, security, and platform capabilities.

Qualifications

The engineer will gain experience with a broad range of enterprise technologies, including:

  • Linux and Windows Server operating systems
  • Infrastructure as Code and Configuration Management
  • Git-based Version Control
  • CI/CD pipelines and DevOps practices
  • Automation and Orchestration platforms
  • Container technologies and modern application platforms
  • Virtualization and enterprise compute platforms
  • Enterprise storage and networking technologies
  • Public and private cloud technologies
  • Monitoring, logging, and observability platforms

Common technologies may include Git, Puppet, Ansible, PowerShell, Python, Go, Container solutions, VMware, Microsoft, Red Hat, Cisco, Dell Technologies, HPE, Cloud technologies, and other enterprise and open-source platforms.

Preferred Skills:

  • Strong troubleshooting and analytical skills.
  • Experience administering Linux and/or Windows enterprise environments.
  • Understanding of scripting or programming languages such as PowerShell, Bash, Python, Go, or Ruby.
  • Familiarity with automation, orchestration, Infrastructure as Code, and configuration management concepts.
  • Knowledge of Agile methodologies, DevOps principles, Continuous Integration, and Continuous Delivery.
  • Familiarity with Generative AI platforms and AI-assisted engineering tools (e.g., GitHub Copilot, ChatGPT, Microsoft Copilot, or similar technologies).
  • Understanding of AI concepts, including Large Language Models (LLMs), prompt engineering, and AI agents.
  • Excellent communication and collaboration skills with both technical and non-technical stakeholders.
  • Ability to prioritize multiple initiatives while maintaining high operational standards.
  • Passion for continuous learning, innovation, automation, and improving customer outcomes.

Compensation
In the spirit of pay transparency, we are excited to share that the starting base pay range for this position is $61,000 - $95,900 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:

      The engineer will gain experience with a broad range of enterprise technologies, including:

      • Linux and Windows Server operating systems
      • Infrastructure as Code and Configuration Management
      • Git-based Version Control
      • CI/CD pipelines and DevOps practices
      • Automation and Orchestration platforms
      • Container technologies and modern application platforms
      • Virtualization and enterprise compute platforms
      • Enterprise storage and networking technologies
      • Public and private cloud technologies
      • Monitoring, logging, and observability platforms

      Common technologies may include Git, Puppet, Ansible, PowerShell, Python, Go, Container solutions, VMware, Microsoft, Red Hat, Cisco, Dell Technologies, HPE, Cloud technologies, and other enterprise and open-source platforms.

      Preferred Skills:

      • Strong troubleshooting and analytical skills.
      • Experience administering Linux and/or Windows enterprise environments.
      • Understanding of scripting or programming languages such as PowerShell, Bash, Python, Go, or Ruby.
      • Familiarity with automation, orchestration, Infrastructure as Code, and configuration management concepts.
      • Knowledge of Agile methodologies, DevOps principles, Continuous Integration, and Continuous Delivery.
      • Familiarity with Generative AI platforms and AI-assisted engineering tools (e.g., GitHub Copilot, ChatGPT, Microsoft Copilot, or similar technologies).
      • Understanding of AI concepts, including Large Language Models (LLMs), prompt engineering, and AI agents.
      • Excellent communication and collaboration skills with both technical and non-technical stakeholders.
      • Ability to prioritize multiple initiatives while maintaining high operational standards.
      • Passion for continuous learning, innovation, automation, and improving customer outcomes.
      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