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Remote Intelligent Transportation Systems Jobs in Novi, MI

Hitachi

Simulation Engineer

Lake Orion, MI · On-site +1

We provide intelligent automated manufacturing and distribution technology solutions that transform ... Perform system throughput studies. * Work with the design teams to validate tooling, layout, and ...

Hitachi

Simulation Engineer

Lake Orion, MI · On-site +1

We provide intelligent automated manufacturing and distribution technology solutions that transform ... Perform system throughput studies. * Work with the design teams to validate tooling, layout, and ...

Hitachi

Simulation Engineer

Lake Orion, MI · On-site +1

We provide intelligent automated manufacturing and distribution technology solutions that transform ... Perform system throughput studies. * Work with the design teams to validate tooling, layout, and ...

Ford Motor Company

Senior Software Engineer

Allen Park, MI · On-site +1

$113K - $192K/yr

... transportation. Creating the future of smart mobility requires the highly intelligent use of data ... remote state management and CI/CD-driven plan/apply workflows. Preferred Qualifications * Master ...

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How much do remote intelligent transportation systems jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote intelligent transportation systems in Novi, MI is $26.49, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $29.33 per hour, depending on experience, location, and employer.

What is a remote intelligent transportation system?

Remote Intelligent Transportation Systems (ITS) refer to the use of advanced technologies, such as sensors, cameras, data analytics, and remote communications, to monitor, manage, and optimize transportation networks from a distance. These systems are designed to improve traffic flow, enhance safety, and reduce congestion by providing real-time information and automated responses to changing road conditions. Remote ITS professionals often work with software and hardware to collect and analyze transportation data, support decision-making, and coordinate responses to incidents or emergencies. The role typically allows for remote work, leveraging cloud-based platforms and remote connectivity to manage transportation infrastructure efficiently.

What skills and qualifications are needed to thrive as a remote intelligent transportation systems specialist?

To thrive as a Remote Intelligent Transportation Systems (ITS) Specialist, you need a solid background in transportation engineering, data analysis, and systems integration, typically supported by a relevant engineering degree or ITS certification. Familiarity with ITS software platforms, traffic management systems, and remote monitoring tools is essential. Strong problem-solving, communication, and collaboration skills are crucial for interfacing with stakeholders and responding to real-time transportation challenges. These capabilities ensure efficient, safe, and innovative management of transportation networks in a rapidly evolving technological landscape.

How does working in a remote intelligent transportation systems role involve collaboration with other departments or external partners?

In a Remote Intelligent Transportation Systems (ITS) role, collaboration is integral to success. You'll often work closely with traffic engineers, IT specialists, and city planners to design and maintain transportation networks. Additionally, coordination with external vendors, government agencies, and sometimes emergency services is common to ensure seamless data integration and system interoperability. Effective communication and project management skills are essential, as your insights may directly influence public safety and infrastructure development.

What is the difference between Remote Intelligent Transportation Systems vs Remote Traffic Data Analyst?

AspectRemote Intelligent Transportation SystemsRemote Traffic Data Analyst
Required CredentialsBachelor's in transportation, engineering, or related field; certifications in ITS or traffic managementBachelor's in data analysis, statistics, or transportation; certifications in data analysis tools
Work EnvironmentRemote roles in transportation agencies, tech firms, or consulting companiesRemote positions in government agencies, consulting firms, or transportation companies
Industry UsageDesign, implement, and manage intelligent transportation systemsAnalyze traffic data to inform transportation planning and operations
Comparison FocusSystem integration and management of ITS technologiesData analysis and reporting for traffic patterns

Remote Intelligent Transportation Systems professionals focus on managing and implementing transportation technologies, while Remote Traffic Data Analysts analyze traffic data to support decision-making. Both roles often work remotely within transportation sectors but differ in their core responsibilities and skill sets.

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What cities near Novi, MI are hiring for Remote Intelligent Transportation Systems jobs?

Cities near Novi, MI with the most Remote Intelligent Transportation Systems job openings:

Remote Intelligent Transportation Systems jobs near you

AI Machine Learning Engineer (AI / ML: Python / Go)

Benzinga

Detroit, MI • On-site, Remote

Full-time

Posted 29 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
  • 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.
Benzinga logo

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

Social media

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