Data Vision Engineer I

Martin's Famous Pastry Shoppe, Inc.; Chambersburg (Franklin County); On-site; USD 70,000 - 95,000; Full time

Job summary

RPMGlobal is seeking a Data Vision Engineer I to develop and optimize computer vision, deep learning, and data science solutions for various internal projects. You will design, build, and productionize models from prototype to deployment on edge devices and central servers.

The role emphasizes collaboration with multiple teams to implement CV/ML solutions, maintain code quality, and stay current with model advances. On-site position in Chambersburg, PA within Engineering.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or Statistics.
• 3+ years of related experience; or Master’s degree or above in CS/Engineering/Applied Math/Statistics.
• Strong background in computer vision, deep learning, and data science.

Responsibilities

• Develop and optimize computer vision, deep learning, and data science solutions for multiple internal projects.
• Design, build, and productionize models and software from research to deployment on edge devices and central servers.
• Collaborate with departments to implement novel CV/ML solutions addressing manufacturing/logistics problems.

Skills

Python

C++

Machine learning

Deep learning

Data science

Software engineering

Docker

Git

Education

Bachelor’s Degree in Computer Science, Engineering, Applied Mathematics, or Statistics

3+ years of related experience

Master’s Degree or above in Computer Science, Engineering, Applied Mathematics, or Statistics

Tools

Docker

SQL

MongoDB

React

Job description

Job Title: Data Vision Engineer I

Department: Engineering

Reports To: Data Vision Supervisor

FLSA Status: Exempt

Summary:

The Data Vision Engineer I will be responsible for developing and optimizing computer vision, deep learning, and data science solutions for multiple internal projects. This individual must have the ability to effectively design, build, and productionize models and software at all stages of development, from research prototype to deployment on edge devices and/or central servers. This employee is expected to have a background spanning computer vision, deep learning, and data science, along with strong software engineering practices, and is passionate about developing production-ready, high-quality software.

Essential Duties and Responsibilities:

• Perform statistical modeling, data extraction, analysis, construct, evaluate, and tune neural networks
• Test and develop your own creative solutions with ample computational resources and ensure required performance and usability is met
• Collaborate with various departments and fellow team members to design, develop, and implement novel computer vision, deep learning, and data science solutions to solve relevant manufacturing/logistics problems
• Evaluate accuracy and quality of the designed models as well as data sources
• Stay up to date with the latest models and changes in the technology
• Research and prototype techniques and algorithms across computer vision, deep learning, and data science, including object detection/recognition and predictive or forecasting models
• Design and develop production-ready code following established software engineering practices and standards (version control, code review, testing, documentation)
• Design system architecture for models and applications deployed to edge devices (e.g., NVIDIA Jetson) and/or central virtual machines/servers
• Containerize and deploy applications using Docker, and manage code through Git-based version control workflows
• Build, validate, and maintain predictive and/or forecasting models using statistical and machine learning techniques, and support the underlying databases that store and serve their data
• Communicate results and implications to colleagues and business partners
• Coordinate with application development teams to integrate developed models with existing applications
• Train and retrain systems when necessary
• Positively impact teams by enhancing applications across our company
• Lead projects, report metrics, and improve systems
• Develop prototypes fast, and quickly iterate based on feedback

Supervisory Responsibilities:

This job has no supervisory responsibilities.

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education and/or Experience:

• Bachelor’s Degree in Computer Science, Engineering, Applied Mathematics, or Statistics;
• 3+ years of related experience; or
• Master’s Degree or above Computer Science, Engineering, Applied Mathematics, or Statistics

Language Skills:

Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals.Ability to write routine reports and correspondence.Ability to speak effectively before groups of customers or employees of organization.

Mathematical Skills:

Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume.Ability to apply concepts of basic algebra, geometry, trigonometry, and calculus. A strong mathematical and statistical background (e.g., linear algebra, probability, optimization) is a plus.

Reasoning Ability:

Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form.Ability to deal with problems involving several concrete variables in standardized situations.

Computer Skills:

• Knowledge of and experience working with Microsoft Office, Windows, and Linux
• Network Fundamentals
• Familiarity with Python and C++
• Experience in coding machine learning and deep learning systems
• Experience with version control (Git) and software engineering best practices
• Basic experience with relational and/or non-relational databases (e.g., SQL, MongoDB)
• Experience with Docker/containerization is a plus
• Frontend development experience (e.g., React) is a plus

Certificates, Licenses, Registrations:

• Valid Passport book or the ability to obtain one with 3 months of hire.

Other Knowledge, Skills and Abilities:

• Professional, hands-on experience working on computer vision, deep learning, and/or data science problems in the following subjects:
• Image Processing and Manipulation
• Object Detection and/or tracking
• 3D Estimation or Reconstruction
• SfM
• SLAM
• Machine Learning and Deep Learning
• Data Science and Statistical Analysis
• Predictive and/or Forecasting Models
• Large Language Models (LLMs)
• Experience with cameras, and/or mobile robotics; experience designing software systems for edge devices and/or central VM/server environments is a plus

Other Qualifications:

• Must be able to accommodate hours outside of regular shift when necessary.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is frequently required to walk; sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand. The employee must occasionally lift and/or move up to 50 pounds.Specific vision abilities required by this job include close vision, depth perception and ability to adjust focus.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee may be frequently exposed to moving mechanical parts and risk of electrical shock. The noise level in the work environment is usually moderate.

We are an Equal Opportunity Employer (EOE)