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Edge Ai Machine Learning Jobs in DeLand, FL (NOW HIRING)

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

Develop and implement AI solutions using advanced machine learning techniques and algorithms. Work with Large Language Models (LLM) to enhance natural language processing capabilities. Write ...

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Edge Ai Machine Learning information

See DeLand, FL salary details

$22.7K

$37.9K

$78.3K

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

As of Aug 26, 2026, the average yearly pay for edge ai machine learning in DeLand, FL is $37,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $41,000.00 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 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.

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 cities near DeLand, FL are hiring for Edge Ai Machine Learning jobs?

Cities near DeLand, FL with the most Edge Ai Machine Learning job openings:

Senior Vice President, AI / Machine Learning Data Engineer

BNY

Lake Mary, FL

Full-time

Re-posted 6 days ago


Job description

hackajob is collaborating with BNY to connect them with exceptional professionals for this role.

We’re seeking a future team member for the role of SVP, AI / Machine Learning Engineer to join our AI Hub team. This role is located in Lake Mary, FL or Pittsburgh, PA.

This role is located in our AI Hub and is focused on building AI-powered tools and platforms that improve the way engineers design, build, test, and operate software. This is a strong opportunity for a hands-on technical lead who can apply deep AI and software engineering expertise to deliver practical solutions, guide technical direction, and help scale high-value capabilities in an enterprise environment.

In this role, you’ll make an impact in the following ways:

  • Lead research initiatives hands-on, provide direction on AI solutions, technical expertise, and craft strategic approaches for Machine Learning and Artificial Intelligence products.
  • Bring deep knowledge of Applied AI, LLMs, fine tuning and approaches to creating fit-for-purpose models and agents.
  • Conduct technical research studies to provide additional facts needed to make informed strategic decisions.
  • Establish strong relationships with internal teams to gain an understanding of their strategies, objectives, and tactics to develop a comprehensive success measurement plan.
  • Bring expertise in leveraging AI to create effective software lifecycles and empower builders, designers and developers.
  • Contributing to the achievement of Application Development objectives. Mentors and develops a successful team of machine learning engineers.

To be successful in this role, we’re seeking the following:

  • Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required.
  • 9-11 years of experience in software development required; experience in the securities or financial services industry is a plus.
  • Advanced experience (preferably 9+ years) in applied AI/ML, modelling and software engineering.
  • Ability to operate as a group technical lead, collaborating with, mentoring and guiding the direction of engineers or researchers.
  • Strong understanding of enterprise software practices and how to create sustainable architectures.
  • Ability to communicate technical ideas and express complex concepts to different types of audiences.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.