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Remote Embedded Machine Learning Jobs in New Jersey

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

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All JobsEmbedded Machine Learning 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?

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:

What job categories do people searching Remote Embedded Machine Learning jobs in New Jersey look for?

The top searched job categories for Remote Embedded Machine Learning jobs in New Jersey are:

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

Associate Director/ Director - Client Partner (Banking)

Tiger Analytics Inc.

Jersey City, NJ • Remote

Full-time

Re-posted 2 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Responsibilities

  • As a client partner, you will have overall responsibility for delivery, account management, client relationships, and account growth.
  • You will be responsible for demonstrating business value through solutions that help meet strategic, operational, and tactical objectives, and making executive presentations.
  • You will be responsible for scaling the pilots / POCs to a long-term transformative program and delivering continuous business value.
  • You will work with the client's business stakeholders to understand key business questions, challenges, and information needs, and help develop an analytics roadmap that identifies and prioritizes key analytics use cases for execution.
  • You will be collaborating with sales leaders (both new sales and account sales) to create the right POVs and proposals to help win new logos and drive growth in existing clients.
  • You will work on some of the latest data science applications to solve complex business problems in Consumer Product Goods (CPG) and Retail.
  • You will lead a team of data and analytics professionals and directly work with key client stakeholders to help define the business problem and determine solution requirements.

Requirements

  • 14-18 years experience in the field of delivering advanced analytics-based consulting services to clients and experience in designing/implementing large programs.
  • Experience managing large accounts and actively involved in account growth would be an added advantage. P&L ownership in the past would also be an added advantage.
  • Ability to engage with CXO and VP / Director level stakeholders from the client's team and with internal remote teams to define business problems and construct solution approaches.
  • Knowledge of domains like Banking and Financial services will be highly preferred.
  • Excellent communication (written and verbal) and presentation skills.
  • Ability to work with global teams, leading in communicating client business problem context to the remote teams and effectively leveraging them in execution, while owning client presentation, project management, and expectation setting.
  • Open to travel (up to 50%) across the United States.
  • Education Qualification - Bachelor's or Higher degree in Statistics, Mathematics, or a related quantitative field.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment with a high degree of individual responsibility.

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