Position

Sr. Software Engineer (Machine Learning, .Net, Angular, Docker)

Position Type

Contract (Extendable)

No. of Positions

1

Description

This is an exciting opportunity for a highly skilled Senior Software (ML) Engineer to develop intelligent, high-performance software solutions that transform up-to-date manufacturing operations. This exciting opportunity combines advanced software engineering, machine learning, and industrial automation to improve production efficiency, equipment reliability, and operational performance. You will work with cutting-edge technologies, collaborate directly with manufacturing teams, and deliver scalable, mission-critical applications in a dynamic Agile environment. This role is primarily on-site, with active collaboration on the production floor, offering a unique opportunity to work hands-on with industrial systems and directly with end users.

Responsibilities

- Architect, develop, and implement robust software applications that enhance manufacturing processes.
- Design, train, optimize, and deploy supervised and unsupervised machine learning models to support predictive analytics and intelligent industrial solutions.
- Build and integrate scalable backend services, RESTful APIs, web applications, and database-driven systems.
- Engineer reliable, high-performance applications incorporating asynchronous processing, multithreading, distributed communication, and modern architectural patterns.




- Collaborate directly with production personnel and business stakeholders.
- Participate actively in Agile/Scrum activities, including solution planning, development, testing, and deployment.
- Troubleshoot, maintain, and optimize production-critical systems.

Qualifications

- 8+ years of experience with at least two of the following: .NET RESTful APIs, Angular SPA, Docker, or relational databases.
- Demonstrated hands-on expertise in supervised and unsupervised machine learning.
- Hands-on experience across multithreaded programming, asynchronous processing, socket communication, software architecture, system design, and computer networking.
- Practical experience with Linux environments, containerization technologies (Docker/Kubernetes), caching solutions (Redis/Memcached), and message-oriented architectures.
- Familiarity with industrial or enterprise technologies such as PLC, OPC, Modbus, RFID, embedded systems, signal/image processing, cloud platforms (AWS/Azure/GCP), and CI/CD tools is considered an asset.
- Excellent analytical thinking, troubleshooting, communication, and technical documentation skills.
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Mechatronics, or a closely related technical discipline.

We thank all candidates in advance. Only selected candidates for interviews will be contacted. For other exciting opportunities, please visit us at www.vtrac.com . VTRAC is an equal-opportunity employer.

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📌 URGENT - Sr. Software Engineer (Machine Learning,.Net, Angular, Docker) (Canada)
🏢 VTRAC Consulting Corporation (WBE)
📍 Canada