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Remote Machine Vision Engineer Jobs in Raleigh, NC

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

HedgeServ

Senior ITSMA Observability Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

... vision and mission. HedgeServ supports employees through a variety of offerings, including remote ... Develop Machine Learning jobs to dynamically monitor and provide alerts based on specific metrics ...

Mondo

AI Engineer

Raleigh, NC · Remote

$130K - $160K/yr

AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The ... Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... Engineering or other IT-related field or equivalent experience REMOTE WORK NOTICE: This position ...

Redhat

Sr Principal Software Engineer (Azure)

Raleigh, NC · On-site +1

$193K - $318K/yr

Internal-level knowledge of Kubernetes (API machinery, Operators, or Networking stack). * Mastery ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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Remote Machine Vision Engineer information

See Raleigh, NC salary details

$30.6K

$125.2K

$188.1K

How much do remote machine vision engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote machine vision engineer in Raleigh, NC is $125,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.

What are the key skills and qualifications needed to thrive as a Remote Machine Vision Engineer, and why are they important?

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.
What are popular job titles related to Remote Machine Vision Engineer jobs in Raleigh, NC? For Remote Machine Vision Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Machine Vision Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Machine Vision Engineer jobs? Cities near Raleigh, NC with the most Remote Machine Vision Engineer job openings:
Remote Machine Vision Engineer jobs near you
Sr. Data Engineer-Databricks SME (Remote)

Sr. Data Engineer-Databricks SME (Remote)

A.C. Coy

Raleigh, NC • Remote

$111K - $133K/yr

Other

Re-posted 10 days ago

Job description

Overview
  • Tier One Technologies is seeking a Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks.
  • This remote contract-to-hire position will be originated in Raleigh, NC.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.
Responsibilities
  • Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment.
  • Implement de-duplication strategies across large-scale datasets using deterministic and probabilistic matching techniques to ensure data integrity and reduce redundancy within the Data Lake.
  • Develop and enforce data tagging frameworks to classify, label, and annotate datasets with appropriate metadata (e.g., sensitivity, source, domain, lineage) to support data governance, discoverability, and compliance requirements.
  • Assist with Operationalizing deployments and support of Cloud services for ETL Operations. This will include standardizing and automating processes and workflows, creating documentation/knowledge articles, and overall assisting Operations staff who have limited experience in Cloud.
  • Written and oral presentations to high-level CIO management on status of current efforts.
  • Possesses skills and experience related to business management, systems engineering, operations research, and management engineering. Typically has specialization in a particular technology or business application. Keeps abreast of technological developments and industry trends.
  • Assist with deployment, configuration, and management of Azure Cloud environment.
  • Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment.
  • Ability to share optimization and efficiencies with the larger team and management.
  • Ability to automate solutions to repetitive problems/tasks.
Qualifications
  • A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then four additional years of related experience is required.
  • 13+ years of overall IT experience.
  • 5+ years demonstrated experience designing and implementing data ingestion pipelines using tools such as Azure Data Factory, Apache Kafka, Apache NiFi, Spark Structured Streaming, or equivalent technologies.
  • 5+ years of experience applying de-duplication techniques at scale, including record linkage, fuzzy matching, and entity resolution across structured and unstructured datasets.
  • 5+ years of hands-on experience with data tagging and metadata management, including the use of tagging schemas, data catalogs (e.g., Azure Purview, Apache Atlas), and automated classification tools to support data governance and lineage tracking.
  • 5+ years of demonstrated experience working with unstructured data.
  • 2+ years of experience in using Databricks or other Spark-based platforms.
  • Fluency in at least one scripting language (Python, Perl, Ruby, or equivalent).
  • Experience with one or more of the following products and technologies: SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau, Strategy and QLIK is a plus.
  • Integration of Git in continuous deployment and experience with DevOps monitoring tools is a plus.
  • Familiarity with Cloud Operations support in Azure is a plus.
  • Excellent communication skills.
  • Must be able to obtain a Position of Public Trust Clearance.
  • Must be a US Citizen or have US Permanent Residence status (Green Card).
  • Must have resided in the US for the last 5 years and not have traveled outside the US for a combined total of 6 months or more in last 5 years.
Employment Type: OTHER
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Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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