We combine artificial intelligence, machine learning, and real-time data pipelines to surface ... We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ...
We combine artificial intelligence, machine learning, and real-time data pipelines to surface ... We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ...
We combine artificial intelligence, machine learning, and real-time data pipelines to surface ... We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ...
We combine artificial intelligence, machine learning, and real-time data pipelines to surface ... We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ...
Experience 5 10 years of experience in Data Analytics, Digital Transformation, AI, Machine Learning, or Advanced Analytics. 2 3 years of hands-on experience delivering AI or Generative AI use cases ...
Experience 5 10 years of experience in Data Analytics, Digital Transformation, AI, Machine Learning, or Advanced Analytics. 2 3 years of hands-on experience delivering AI or Generative AI use cases ...
Has implemented cutting edge methods (e.g. a custom layer) from recent Machine Learning publications / conference proceedings and has done so in PyTorch or Tensorflow. * Publications in AI/ML ...
Has implemented cutting edge methods (e.g. a custom layer) from recent Machine Learning publications / conference proceedings and has done so in PyTorch or Tensorflow. * Publications in AI/ML ...
Senior Machine Learning Engineer
Detroit, MI · On-site +1
$126K - $180K/yr
As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...
Senior Machine Learning Engineer
Detroit, MI · On-site +1
$126K - $180K/yr
As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...
Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
Plymouth, MI · On-site
Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable ... Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience ...
Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
Plymouth, MI · On-site
Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable ... Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience ...
Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
Plymouth, MI · On-site
Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable ... Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience ...
Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
Plymouth, MI · On-site
Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable ... Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience ...
Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
Plymouth, MI · On-site
Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable ... Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience ...
Quick apply
Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
Plymouth, MI · On-site
Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable ... Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience ...
Principal AI Engineer
Auburn Hills, MI · On-site
Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field * A minimum of 8 years of professional experience in software engineering, AI, or machine learning ...
Principal AI Engineer
Auburn Hills, MI · On-site
Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field * A minimum of 8 years of professional experience in software engineering, AI, or machine learning ...
Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field * A minimum of 8 years of professional experience in software engineering, AI, or machine learning ...
Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field * A minimum of 8 years of professional experience in software engineering, AI, or machine learning ...
We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language Models (LLMs), and emerging Agentic AI capabilities to ...
Quick apply
We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language Models (LLMs), and emerging Agentic AI capabilities to ...
Java AI Engineer
Farmington Hills, MI · On-site
$51 - $69.75/hr
... edge AI capabilities. The candidate must be comfortable working in a fast-paced, research-driven ... Machine learning frameworks, or AI cloud services is a plus but not required. Must Have Technical ...
Quick apply
Java AI Engineer
Farmington Hills, MI · On-site
$51 - $69.75/hr
... edge AI capabilities. The candidate must be comfortable working in a fast-paced, research-driven ... Machine learning frameworks, or AI cloud services is a plus but not required. Must Have Technical ...
Machine Learning Engineer
Allen Park, MI · On-site
Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... Agentic AI Orchestrator: A deployed multi-agent system that autonomously monitors the middleware ...
Machine Learning Engineer
Allen Park, MI · On-site
Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... Agentic AI Orchestrator: A deployed multi-agent system that autonomously monitors the middleware ...
Machine Learning Engineer
Ann Arbor, MI · On-site
They are seeking a Machine Learning Engineer to develop and improve machine learning systems for ... AI, and defense applications. Founded in 2022, the company is headquartered in Houston, USA, with a ...
Machine Learning Engineer
Ann Arbor, MI · On-site
They are seeking a Machine Learning Engineer to develop and improve machine learning systems for ... AI, and defense applications. Founded in 2022, the company is headquartered in Houston, USA, with a ...
... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...
... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...
... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...
... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...
... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...
... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...
... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...
... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...
... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...
... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...
... cutting-edge AI capabilities. · The candidate must be comfortable working in a fast-paced ... · Machine learning frameworks, or AI cloud services is a plus but not required. Must Have ...
Quick apply
... cutting-edge AI capabilities. · The candidate must be comfortable working in a fast-paced ... · Machine learning frameworks, or AI cloud services is a plus but not required. Must Have ...
Edge Ai Machine Learning information
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.
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 Michigan?
The most popular types of Edge Ai Machine Learning jobs in Michigan are:
What are popular job titles related to Edge Ai Machine Learning jobs in Michigan?
For Edge Ai Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Edge Ai Machine Learning jobs in Michigan look for?
The top searched job categories for Edge Ai Machine Learning jobs in Michigan are:
- Machine Learning Manager
- Reinforcement Learning Engineer
- Freelance Google Machine Learning Engineer
- Learning Disability
- Remote Llm Graduate
- Remote Machinist Mate Submarine Civilian
- Remote Japanese Spanish
- Remote Python Machine Learning
- Remote Machine Learning Compiler Engineer
- Internship Aws Machine Learning
What cities in Michigan are hiring for Edge Ai Machine Learning jobs?
Cities in Michigan with the most Edge Ai Machine Learning job openings:
Full-time
Posted 27 days ago
Job description
About Benzinga
Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering - someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.
The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.
Key Responsibilities
AI / Machine Learning
Backend & Infrastructure
Requirement for applying:
Required Qualification
Preferred Skills / Experience
Tech Stack
Why Join Benzinga
Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering - someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.
The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.
Key Responsibilities
AI / Machine Learning
- Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains.
- Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data.
- Develop model serving APIs and scalable inference layers using Go or Python.
- Implement model monitoring, drift detection, and continuous retraining pipelines.
- Work with financial text (earnings call transcripts, filings, news) to extract structured insights.
- Collaborate with data engineers to build training datasets, feature stores, and embedding databases.
Backend & Infrastructure
- Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs.
- Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda.
- Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data.
- Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning.
- Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads.
Requirement for applying:
- During your screening you will be required to submit a Loom video walkthrough of your most exceptional product, share relevant code/repo links, and describe the biggest challenge you faced building it.
Required Qualification
- 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production.
- Computer science degree (Bachelor minimum)
- Deep proficiency in Python (data, ML) and Go (backend, microservices).
- Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
- Experience with transformer architectures, embeddings, or fine-tuning LLMs.
- Strong understanding of data pipelines, feature extraction, and model lifecycle management.
- Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2).
- Excellent problem-solving skills and ability to work independently in a distributed environment.
Preferred Skills / Experience
- Startup experience.
- Financial services or fintech background
- Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems.
- Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN).
- Experience with Kafka, LangChain, or data streaming architectures.
- Familiarity with financial data systems, real-time analytics, or news NLP.
- Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.).
- Contributions to open-source ML or Go projects are a strong plus.
Tech Stack
- Languages: Python, Go
- ML Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain
- Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
- Containers & Orchestration: Docker, Kubernetes
- Data & Streaming: Kafka, Postgres, OpenSearch
- CI/CD: GitHub Actions, GitLab CI
- Monitoring: Datadog, Prometheus, Grafana
- Version Control: Git (Gitlab / Github)
Why Join Benzinga
- Build and ship production AI systems that shape how financial markets understand information.
- Operate with full creative freedom - explore, experiment, and execute your ideas end-to-end.
- Work with a lean, highly technical team where initiative and ownership are celebrated.
- Fully remote, high-trust environment that rewards curiosity, speed, and execution.
About Benzinga
Sourced by ZipRecruiter
Benzinga is a full-service news and media company with three main areas of expertise: real-time news, actionable trading ideas and insightful commentary. We offer coverage of all aspects of the financial market including corporate, economic and political content. With strong connections in and around the market, we strive to provide high quality and relevant news for the real-time environment that defines today's world.
Industry
Video and audio streaming services
Company size
11 - 50 Employees
Headquarters location
Detroit, MI, US
Year founded
2010