Machine Learning C#, Python, C++ with Azure

DaBrein Solutions; Buenos Aires; Presencial; ARS 2.400.000 - 4.200.000; Jornada completa

Descripción de la vacante

DaBrein Solutions seeks a Software Engineer proficient in C#, Python, and C++ with cloud experience (AWS/Azure/Google Cloud) to advance our industrial automation software.

You will design, develop, and integrate scalable applications for reverse logistics, collaborate with multidisciplinary teams, and apply best practices in APIs, machine vision, and data processing.

Formación

• Bachelor’s degree or equivalent practical experience in a related field.
• 5+ years of professional software development experience in industrial automation environments.
• Expertise architecting and developing complex software systems; strong proficiency in C++, Python, and C#.

Responsabilidades

• Design, develop, implement, debug, and document software for industrial automation systems.
• Integrate machine vision, data processing, and machine learning into applications.
• Develop reporting, visualization, and data-driven tools for operational decisions.
• Build scalable libraries and tools to support reverse logistics operations.

Conocimientos

C++

Python

C#

RESTful APIs

GraphQL APIs

OpenCV

Machine learning

DevOps

CI/CD

Docker

Kubernetes

Cloud platforms

Data visualization

SQL/NoSQL

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

OpenCV

TensorFlow

PyTorch

Docker

Kubernetes

AWS

Azure

Google Cloud

Descripción del empleo

DaBrein Solutions will be selecting a Software Engineer skilled in C#, Python, and C++ with experience on Azure, AWS, or Google Cloud.

Job Purpose

The Software Engineer will design, develop, and implement software applications that support and enhance industrial automation systems. This role will collaborate closely with multidisciplinary engineering teams to deliver scalable, reliable, and high‑performance automation solutions that enable operational efficiency across reverse logistics environments.

Primary Responsibilities

• Design, develop, implement, debug, and document new and existing software applications for industrial automation systems.
• Integrate specialized automation technologies including machine vision, data processing, and machine learning.
• Develop reporting, visualization, and data‑driven tools to support operational decision‑making.
• Build scalable and reliable deployable libraries and tools to support reverse logistics operations.

Technical Leadership

• Provide guidance on software engineering best practices and architecture.
• Participate in code reviews and ensure adherence to development standards.
• Apply solutions to complex technical challenges and support continuous improvement initiatives.

Requirements

• Analysis & Collaboration
  Partner with project managers, automation engineers, and cross‑functional stakeholders to translate business and technical requirements into clear specifications. Support scoping, planning, and prioritization of automation projects.
• Research & Development
  Evaluate emerging technologies, frameworks, and tools relevant to industrial automation. Develop prototypes and proof‑of‑concepts to expand the team’s technical capabilities and internal tool library.
• Required Experience, Skills & Knowledge
  
  • Education – Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • Experience – 5+ years of professional software development experience. Demonstrated experience designing and implementing scalable, robust solutions for industrial automation environments.
  • Technical Skills – Expertise architecting and developing complex software systems; strong proficiency in C++, Python, and C#, with solid understanding of software engineering principles. Experience designing and integrating RESTful and/or GraphQL APIs. Familiarity with machine vision technologies (OpenCV, hardware integration). Experience developing or integrating machine learning models for real‑time industrial applications (TensorFlow, PyTorch a plus). Knowledge of DevOps practices, CI/CD pipelines, automated testing. Experience with SQL and NoSQL databases, data modeling, performance optimization. Experience working with large datasets, real‑time data streaming, data visualization tools. Experience with cloud platforms (AWS, Azure, Google Cloud) and cloud‑native architectures. Understanding of microservices and container technologies such as Docker and Kubernetes.
  • Leadership & Soft Skills – Excellent written and verbal communication skills, with the ability to explain complex concepts to diverse stakeholders. Strong analytical and problem‑solving abilities. Proven ability to collaborate effectively in large, global, cross‑functional teams.

Preferred Qualifications

• Master’s degree in Computer Science, Computer Engineering, or related technical field.
• Knowledge of industrial communication protocols (Modbus, OPC‑UA, EtherCAT).
• Experience integrating with PLCs, SCADA, and HMI systems.