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Senior Embedded Machine Learning Jobs in Latham, NY

Diverse Agile Solutions

Expert Project Manager

Albany, NY · On-site

$42 - $45/hr

Present updates to senior leadership and stakeholders. * Facilitate project meetings and steering ... Machine Learning (ML) * Cloud Computing * Transportation Communications * Cybersecurity Required ...

Diverse-Agile-Solutions

Expert Project Manager

Albany, NY · On-site

$150 - $200/hr

Present updates to senior leadership and stakeholders. * Facilitate project meetings and steering ... Machine Learning (ML) * Cloud Computing * Transportation Communications * Cybersecurity Required ...

Diverse Agile Solutions

Expert Project Manager

Albany, NY · On-site

$42 - $45/hr

Present updates to senior leadership and stakeholders. * Facilitate project meetings and steering ... Machine Learning (ML) * Cloud Computing * Transportation Communications * Cybersecurity Required ...

Diverse Agile Solutions

Expert Project Manager

Albany, NY · Hybrid

$42 - $45/hr

Present updates to senior leadership and stakeholders. * Facilitate project meetings and steering ... Machine Learning (ML) * Cloud Computing * Transportation Communications * Cybersecurity Required ...

Crane Stationery

Thermo Press Operator

Latham, NY · On-site

$18.50/hr

... learning the craft of printing. No previous machine experience is needed as you will be trained by ... senior operators to solve production challenges · Use work metrics to track production and labor ...

E Tech Group

Senior IT/OT Network Engineer

Albany, NY · On-site

$103K - $141K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems, thin ...

E Tech Group

Senior IT/OT Network Engineer

Albany, NY

$103K - $141K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems, thin ...

E Tech Group

Senior IT/OT Network Engineer

Albany, NY · On-site

$103K - $141K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems, thin ...

Atos SE

IGNITE ANALYST

Troy, NY · On-site

$100 - $125/hr

You will work closely with senior engineers to translate business requirements into scalable, AI ... Familiarity with AI/ML concepts (e.g., supervised learning, NLP basics, APIs for AI services)

E Tech Group

Senior Automation Engineer

Albany, NY · On-site

$103K - $135K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies * Knowledge ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems ...

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Showing results 41-60

All JobsEmbedded Machine Learning JobsSenior Embedded Machine Learning JobsSenior Embedded Machine Learning Jobs in Latham, NY

Senior Embedded Machine Learning information

See Latham, NY salary details

$73K

$139.9K

$187K

How much do senior embedded machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior embedded machine learning in Latham, NY is $139,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,800.00 and $157,000.00 per year, depending on experience, location, and employer.

What does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.

What are the key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What cities near Latham, NY are hiring for Senior Embedded Machine Learning jobs?

Cities near Latham, NY with the most Senior Embedded Machine Learning job openings:

Senior Embedded Machine Learning jobs near you

Expert Project Manager

Diverse Agile Solutions

Albany, NY • On-site

$42 - $45/hr

Full-time

Re-posted 4 days ago

Job description

Expert Project Manager
Diverse Agile Solutions (DAS)
Location: Albany, NY (Hybrid/Onsite as required)
Employment Type: Full-Time / Contract
Experience Level: Expert (7+ Years Required)
Clearance: Must be eligible to work on U.S. government projects
About Diverse Agile Solutions
Diverse Agile Solutions (DAS) is a certified Minority Business Enterprise (MBE), Small Business Enterprise (SBE), and Disadvantaged Business Enterprise (DBE) delivering innovative IT consulting, digital transformation, cybersecurity, cloud, and enterprise modernization solutions to federal, state, and commercial clients.
Our success is built on technical excellence, collaborative partnerships, and a commitment to delivering mission-critical solutions that improve public services. We are seeking an experienced Expert Project Manager to support a major Transportation Safety Management and Operations (TSMO) Technology Program.
Position Overview
Diverse Agile Solutions is seeking an Expert Project Manager to lead and coordinate complex Transportation Safety Management and Operations (TSMO) initiatives involving both Information Technology (IT) and Operational Technology (OT) environments.
This role will oversee multiple interrelated projects that collectively support strategic transportation objectives. The successful candidate will provide leadership across cross-functional teams while ensuring projects are delivered on schedule, within budget, and aligned with organizational goals.
This position requires an experienced leader who understands transportation technologies, intelligent transportation systems (ITS), cybersecurity, infrastructure modernization, stakeholder management, and enterprise project governance.
Key Responsibilities
Project Planning & Strategy
  • Define project scope, objectives, deliverables, and success criteria.
  • Develop comprehensive project plans, work breakdown structures (WBS), schedules, budgets, and resource plans.
  • Lead requirements gathering sessions with business and technical stakeholders.
  • Identify project risks and develop mitigation strategies.
  • Evaluate technology solutions supporting transportation operations and TSMO initiatives.
  • Develop business cases, cost-benefit analyses, and ROI documentation.
  • Build stakeholder engagement and communication strategies across agencies and vendors.
Project Execution & Leadership
  • Lead multiple concurrent technology projects from initiation through deployment.
  • Direct cross-functional teams consisting of:
    • IT professionals
    • Operational Technology (OT) engineers
    • Software developers
    • Infrastructure engineers
    • System integrators
    • Business stakeholders
    • Third-party vendors
  • Manage project schedules, budgets, resources, and deliverables.
  • Monitor project performance and implement corrective actions when necessary.
  • Establish quality assurance processes and ensure project deliverables meet organizational standards.
  • Manage project scope, changes, and governance through formal change management processes.
  • Oversee vendor selection, contracts, and performance management.
IT / OT Integration
  • Coordinate integration between enterprise IT systems and transportation operational technologies.
  • Support deployment of intelligent transportation systems (ITS).
  • Ensure cybersecurity best practices are incorporated into both IT and OT environments.
  • Oversee data collection, analytics, reporting, and operational dashboards.
  • Monitor system reliability, performance, and operational readiness.
  • Ensure systems are fully tested, documented, and prepared for production deployment.
Communication & Governance
  • Prepare executive-level project status reports.
  • Present updates to senior leadership and stakeholders.
  • Facilitate project meetings and steering committee sessions.
  • Resolve project conflicts and remove delivery obstacles.
  • Maintain complete project documentation, meeting minutes, action items, and technical artifacts.
Continuous Improvement
  • Identify opportunities to improve project management processes.
  • Conduct post-project reviews and capture lessons learned.
  • Recommend improvements to delivery methodologies and governance.
  • Stay current with emerging transportation technologies including:
    • Intelligent Transportation Systems (ITS)
    • Internet of Things (IoT)
    • Artificial Intelligence (AI)
    • Machine Learning (ML)
    • Cloud Computing
    • Transportation Communications
    • Cybersecurity
Required Qualifications
Applicants must possess:
  • Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
  • Active Project Management Professional (PMP) certification.
  • Minimum 84 months (7 years) of senior-level project management experience.
  • Demonstrated experience leading large, cross-functional technology teams.
  • Strong leadership, communication, organizational, and stakeholder management skills.
  • Experience managing complex enterprise technology initiatives with changing business priorities.
Preferred Qualifications
Candidates with the following experience are highly preferred:
  • 84 months managing large-scale IT and Operational Technology (OT) integration projects.
  • 84 months leading projects involving cross-functional business, technical, security, and vendor teams.
  • 72 months managing transportation operations, traffic management, or Intelligent Transportation Systems (ITS) projects.
  • 72 months developing stakeholder engagement plans, executive communications, conflict resolution strategies, and governance documentation.
  • 60 months establishing project performance metrics, KPIs, dashboards, and executive reporting.
  • 60 months leading process improvement initiatives and conducting post-project reviews.
  • 48 months supporting IT infrastructure, Operational Technology systems, and cybersecurity implementations.
Desired Technical Knowledge
Experience with one or more of the following is highly desirable:
  • Intelligent Transportation Systems (ITS)
  • Transportation Safety Management and Operations (TSMO)
  • Operational Technology (OT)
  • Information Technology (IT)
  • Traffic Management Systems
  • IoT Technologies
  • Cloud Platforms
  • Enterprise Infrastructure
  • Network Technologies
  • Cybersecurity Frameworks
  • Data Analytics
  • AI / Machine Learning
  • Project Portfolio Management
  • Agile and Hybrid Project Management
  • Risk Management
  • Vendor Management
What Makes You Successful
The ideal candidate is:
  • An exceptional communicator capable of working with executive leadership and technical teams.
  • Highly organized and skilled at managing multiple priorities simultaneously.
  • Comfortable leading large-scale technology initiatives in fast-paced environments.
  • Experienced in balancing strategic planning with hands-on project execution.
  • Passionate about improving transportation technology and public-sector services.
Why Join Diverse Agile Solutions?
At DAS, you'll have the opportunity to work on impactful government technology initiatives that improve transportation safety and operational efficiency. We offer a collaborative culture, opportunities for professional growth, and the chance to work alongside highly skilled technology professionals delivering innovative solutions to public-sector clients.
Diverse Agile Solutions is an Equal Opportunity Employer
Diverse Agile Solutions is committed to creating a diverse and inclusive workplace. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, age, or any other legally protected characteristic.
Applicants must be authorized to work in the United States and may be required to successfully complete background investigations depending on client requirements.

Apply