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

Sr. Data Engineer

Rochester, NY · On-site

$140 - $190/hr

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.

New

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.

Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or a related ... Hands-on experience with modern AI platforms (Azure ML, Databricks, OpenAI, AWS, etc.). * Proven ...

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 ...

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 ...

FPGA Engineer IV

Rochester, NY · On-site

$156K - $214K/yr

... ML algorithms at the processing edge. Engage with global teams to effectively translate internal ... platform. Design, implementation, and test of complex FPGA's used with system on chip and ...

FPGA Engineer IV

Rochester, NY · On-site

$156 - $215/hr

... AI/ML algorithms at the processing edge. * Engage with global teams to effectively translate ... platform. * Design, implementation, and test of complex FPGA's used with system on chip and ...

New

FPGA Engineer IV

Rochester, NY · On-site

$156K - $214K/yr

... AI/ML algorithms at the processing edge. * Engage with global teams to effectively translate ... platform. * Design, implementation, and test of complex FPGA's used with system on chip and ...

FPGA Engineer IV

Rochester, NY · On-site

$156K - $214K/yr

... AI/ML algorithms at the processing edge. * Engage with global teams to effectively translate ... platform. * Design, implementation, and test of complex FPGA's used with system on chip and ...

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud ...

2027 PhD Research Engineering Intern/Co-op

Rochester, NY · On-site

$16.50 - $21.50/hr

... platforms * We will encourage you to contribute to an environment that has the potential to ... C/C++, Verilog HDL, Python, P4, ML frameworks, /C++, Java, MATLAB, Go * Research experience and ...

Sr. Solutions Architect AI

Rochester, NY · On-site

$170K - $195K/yr

Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS ... Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force ...

Showing results 21-40

Ml Platform Engineer information

See Rochester, NY salary details

$32

$63

$93

How much do ml platform engineer jobs pay per hour?

As of Sep 3, 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 is an ML Platform Engineer?

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 skills and qualifications are needed to thrive as an ML Platform Engineer?

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.

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 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.

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:

Cyber Identity - FDE Senior Consultant - Engineering and Product Engineer III

Deloitte

Rochester, NY

$103K - $141K/yr

Full-time

Posted 24 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:

  • Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
  • Identifying, troubleshooting, and resolving technical issues within scope
  • Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
  • Contributing to solution design and aligning client needs with delivery feasibility
  • Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • Understanding of AI system architectures and ability to align application pipelines to support them.
  • Ability to independently own defined scope end-to-end with consistent, high-quality output.
  • Experience working directly with business stakeholders to translate requirements into technical solutions.
  • Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
  • Strong accountability and ownership mindset in achieving client outcomes.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience and/or certification with Anthropic is strongly preferred.
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:

  • Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
  • Identifying, troubleshooting, and resolving technical issues within scope
  • Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
  • Contributing to solution design and aligning client needs with delivery feasibility
  • Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • Understanding of AI system architectures and ability to align application pipelines to support them.
  • Ability to independently own defined scope end-to-end with consistent, high-quality output.
  • Experience working directly with business stakeholders to translate requirements into technical solutions.
  • Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
  • Strong accountability and ownership mindset in achieving client outcomes.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience and/or certification with Anthropic is strongly preferred.
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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