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Edge Ai Machine Learning Jobs in Rochester, NY (NOW HIRING)

Sr. Solutions Architect AI

Rochester, NY ยท On-site

$170K - $195K/yr

Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer). * Experience in a Professional Services ...

Sr. Solutions Architect AI

Rochester, NY ยท On-site

$150 - $200/hr

Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer). * Experience in a Professional Services ...

NGA AI Engineer Manager

Rochester, NY

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... AI solutions that drive remarkable client outcomes. As a Manager you will supervise, develop, and ...

This role requires hands-on expertise in programming, systems integration, analytics, and the implementation of cutting-edge technologies such as artificial intelligence, machine learning, and ...

Data Science Tutor

Rochester, NY ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Engineer (Azure & Snowflake) - Remote

Rochester, NY ยท On-site +1

$90K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience supporting AI or machine learning initiatives through data engineering. * Experience ... Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.

Data Engineer (Azure & Snowflake) - Remote

Rochester, NY ยท Remote

$90K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience supporting AI or machine learning initiatives through data engineering. * Experience ... Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.

ERP AI Engineer - Manager

Rochester, NY

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... This role offers the chance to shape AI solution architecture while driving innovation and ...

Data Engineer (Azure & Snowflake) - Remote

Rochester, NY ยท Remote

$90K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience supporting AI or machine learning initiatives through data engineering. * Experience ... Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.

Displays a good attitude towards learning new jobs and procedures and work towards minimal ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Commercial Collections Specialist

Rochester, NY

$22 - $26/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bounce AI is a fintech startup transforming how businesses recover outstanding receivables, leveraging machine learning, automation, and deep personalization tailored to each account's financial ...

Commercial Collections Specialist

Rochester, NY ยท On-site

$22 - $26/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bounce AI is a fintech startup transforming how businesses recover outstanding receivables, leveraging machine learning, automation, and deep personalization tailored to each account's financial ...

Showing results 41-60

Edge Ai Machine Learning information

See Rochester, NY salary details

$25.2K

$42K

$86.8K

How much do edge ai machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for edge ai machine learning in Rochester, NY is $42,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Rochester, NY?

The most popular types of Edge Ai Machine Learning jobs in Rochester, NY are:

What are popular job titles related to Edge Ai Machine Learning jobs in Rochester, NY?

For Edge Ai Machine Learning jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Edge Ai Machine Learning jobs in Rochester, NY look for?

The top searched job categories for Edge Ai Machine Learning jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Edge Ai Machine Learning jobs?

Cities near Rochester, NY with the most Edge Ai Machine Learning job openings:

Infographic showing various Edge Ai Machine Learning job openings in Rochester, NY as of June 2026, with employment types broken down into 5% Internship, 68% Full Time, 11% Part Time, and 16% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $42,016 per year, or $20.2 per hour.

Sr. Solutions Architect AI

MegazoneCloud

Rochester, NY โ€ข On-site

$170K - $195K/yr

Full-time

Re-posted 25 days ago


Job description

Who We're Looking For
Megazone Cloud is looking for a Director of AI & Databricks Solutions to be a chief designer of our AI practice and a technical authority for our clients. Reporting directly to the CTO, you are a "builder" at heart-equally comfortable in the code as you are in the boardroom-but your primary focus is on strategy, design, and the ethical governance of AI.
You thrive on solving ambiguous, high-stakes business problems and designing the end-to-end technical solutions that solve them. As a key client-facing expert, you will lead technical discovery, set the GenAI strategy, and guide our teams to execute a clear vision. You are a master of the Databricks ecosystem and the leading Cloud Service Providers (CSPs).
What You'll Do
  • Lead Technical Strategy & Design: Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS, Azure, GCP, and Databricks.
  • Be the Client-Facing Expert: Lead discovery workshops to surface high-impact use cases, translate complex business requirements into architectural roadmaps, and present ROI models to executive stakeholders.
  • Architect the Future: Design reference architectures on Databricks covering data pipelines, feature stores, model training, vector databases, and real-time inference.
  • Own the Ecosystem: Drive strategic relationships with AWS, Azure, GCP, and Databricks, ensuring our offerings leverage the latest innovations in GenAI and MLOps.
  • Set the Standard: Define best practices for responsible AI, data quality, and security, serving as the final point of escalation for complex technical challenges.
  • Mentor and Multiply: Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force multiplier" through technical guidance and design reviews.
  • Market Leadership: Represent Megazone Cloud at industry conferences, publish white papers, and position the firm as a premier leader in applied-AI innovation.
What You Bring (Requirements)
  • Professional Experience: 8-12+ years of experience in data science, AI, and data ecosystems, with at least 5 years leading cross-functional technical teams.
  • Databricks Mastery: Deep, hands-on expertise with the Databricks stack and a proven track record of integrating Databricks into complex client environments.
  • Cloud Architecture: 2+ years of progressive experience in cloud architecture or solutions engineering across AWS, Azure, or GCP.
  • Strategic Leadership: Proven ability to build, manage, and mentor technical teams while managing multi-faceted projects.
  • C-Suite Excellence: Exceptional skills in presenting to executive audiences and translating business needs into technical designs.
  • Educational Foundation: Bachelor's degree in Computer Science, Data Science, or a related field (Master's or PhD preferred).
  • A "Builder" Mindset: A startup mentality, a strategic approach to problem-solving, and a genuine thirst for knowledge.
Bonus Points (Nice-to-Haves)
  • Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer).
  • Experience in a Professional Services or consulting environment.
Why You'll Love It Here
  • Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth.
  • True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.
  • Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.
  • A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.

We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.
Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.