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Remote E Filing Jobs in Michigan (NOW HIRING)

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Remote E Filing information

What is a remote e filing?

Remote e-filing jobs involve submitting documents electronically, often for legal, tax, or governmental purposes, from a remote location. Professionals in these roles may work as clerks, paralegals, or administrative assistants, ensuring that forms and paperwork are accurately uploaded and processed through online systems. These jobs require attention to detail, familiarity with digital platforms, and strong organizational skills. Working remotely allows employees to perform these tasks from home or any location with internet access.

What skills and qualifications are needed for a remote e filing?

To thrive as a Remote E-Filing Specialist, you need strong attention to detail, organizational skills, and familiarity with document management, typically supported by administrative experience or relevant education. Proficiency with electronic filing systems, legal document submission portals, and common office software is essential, and certifications in legal administration or records management can be advantageous. Excellent time management, communication, and adaptability to changing deadlines are standout soft skills in this role. These skills ensure that filings are accurate, timely, and compliant with legal or regulatory requirements, which is crucial for organizational efficiency and risk mitigation.

What challenges do remote e filing professionals face and how can they be addressed?

Professionals in Remote E Filing often encounter challenges such as managing high volumes of sensitive documents, ensuring data accuracy, and navigating various e-filing platforms, each with its own requirements. Effective time management and strong attention to detail are essential to avoid errors and meet strict submission deadlines. Staying up-to-date with the latest regulations and maintaining clear communication with team members and clients can also help address these challenges and ensure smooth workflow in a remote setting.

What is the difference between Remote E Filing vs Remote Tax Preparer?

AspectRemote E FilingRemote Tax Preparer
Required CredentialsNone or basic certificationPTIN, sometimes credentials
Work EnvironmentOnline, client or employer portalsOnline, client interaction
Industry UsageTax filing platforms, software companiesTax preparation services, accounting firms
Common Search IntentFiling taxes electronicallyPreparing and filing individual taxes

Remote E Filing involves submitting tax documents electronically through platforms, often requiring minimal credentials. Remote Tax Preparer focuses on preparing and filing taxes for clients, often needing specific certifications. While both roles operate online within the tax industry, Remote E Filing emphasizes the submission process, whereas Remote Tax Preparer involves direct client service.

What are popular job titles related to Remote E Filing jobs in Michigan?

For Remote E Filing jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote E Filing jobs in Michigan look for?

The top searched job categories for Remote E Filing jobs in Michigan are:

What cities in Michigan are hiring for Remote E Filing jobs?

Cities in Michigan with the most Remote E Filing job openings:

Remote E Filing jobs near you

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

Detroit, MI • On-site, Remote

Benzinga
Video and Audio Streaming Services • 11 - 50 employees
Learn more about Benzingaexternal

Full-time

Re-posted 22 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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