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Remote Embedded Machine Learning Jobs in New Jersey

Cloudera

Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

QCi

$134K - $185K/yr

... affordable quantum machines to the world today. QCi products are designed to operate at room ... well as remote sensing applications. Position Description: We are seeking a new FPGA Design ...

BravoTech

Enterprise Architect

Newark, NJ · On-site +1

$72.25 - $93/hr

Hybrid (3 days onsite, 2 days remote) About the Role We are seeking an experienced Enterprise ... Experience supporting enterprise AI, GenAI, machine learning, or advanced analytics initiatives.

Citizens

Principal Data Analyst- Capital Markets

Iselin, NJ · On-site +1

$140K - $170K/yr

... by machine learning, agentic and generative AI solutions. * Partner with modelers and data ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Citizens

Principal Data Analyst- Capital Markets

Iselin, NJ · On-site +1

$140K - $170K/yr

... by machine learning, agentic and generative AI solutions. * Partner with modelers and data ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Cloudera

$171K - $210K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

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All JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in New Jersey

Remote Embedded Machine Learning information

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are the most commonly searched types of Embedded Machine Learning jobs in New Jersey? The most popular types of Embedded Machine Learning jobs in New Jersey are:
What are popular job titles related to Remote Embedded Machine Learning jobs in New Jersey? For Remote Embedded Machine Learning jobs in New Jersey, the most frequently searched job titles are:
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What cities in New Jersey are hiring for Remote Embedded Machine Learning jobs? Cities in New Jersey with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Microsoft Azure Cloud Engineer/Developer

Microsoft Azure Cloud Engineer/Developer

Johnson Technology Systems Inc

Morristown, NJ • On-site, Remote

$62 - $80.50/hr

Contractor

Posted 18 days ago

Job description

Company Description
Established in 2003, JTSi is an IT & Engineering Services provider with years of documented experience in the Information Technology and Engineering services field. JTSi has a proven track record for successfully delivering mission-critical Professional IT Services to the Public Sector. JTSI SAP/ERP team delivers high-value business solutions to its clients by clearly understanding their core business problems. We deliver quality services at equitable rates and focus on constant improvement in all areas of our operation, with a strong commitment to meeting our Customers' needs. We view ourselves more as a Business Partner than merely a consulting services provider. US Army ERP Services Contract award to JTSi for a ceiling value of $846M is one of the most prestigious awards of the time. At JTSi "Customer Is Always First" and partnering is our path to customer satisfaction - We do what we say. Visit us at www.jtsusa.com
Job Description
  • Deep Knowledge on Open Source Technologies for Distributed Data processing, analysis of big data sets including writing jobs to process vast amounts of data and ETL processing, required expertise is over tools such as: Apache Hadoop, MapReduce, Pig, Spark, Databricks, Hive
  • Deep Knowledge on Open Source Technologies to perform fast, interactive SQL queries at scale over structured or unstructured big data sets, required expertise is over tools such as: Apache Hive LLAP, Spark SQL, Phoenix
  • Deep Knowledge on Open Source Technologies to enable ingestion and processing of millions of streaming events per second: Apache Kafka, Apache Storm, Apache Spark, Apache HBase
  • Deep Knowledge on Performance Analysis and Optimization and operation of Apache Hadoop, Spark, Databricks and the others mentioned above.
  • Deep Knowledge on Open Source Technologies for Machine Learning such as: MLib
  • Strong expertise in ETL/ELT approaches and expertise in technologies such as: Azure Data Factory and SQL Server Integration Services.
  • Software Development skills to write code on Java, Spark Scala, PySpark, Python

Qualifications
Functional Skills
  • Design
  • Hosted Services Deployment
  • IoT Application Management
  • MaaS Assessment Services
  • Mobile Application Custom Development
  • Mobile Application Database Connectivity
  • Mobile Application Offline Architecture
  • Open Source Container Orchestration
  • Relational Database Architecture for Cloud Applications
  • Search Design and Architecture
  • Serverless Computing
  • Unstructured Data Storage Architecture
  • Using Xamarin for cross-platform development
  • Web Application API Management
  • Web Application Development
  • Web Application Security

Additional Information
The role is Remote and 6 Month Contract.
TO QUALIFY YOU MUST BE US citizens. PRINCIPALS Only. NO Staffing Agencies!!
We promote a Drug-Free Workplace and are an Equal Opportunity Employer (EOE) and Affirmative Action Employer.

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