Machine Learning Python, C++ with Azure

DaBrein Solutions; Buenos Aires; Presencial; ARS 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

DaBrein Solutions will be selecting a Machine Learning - Software Engineer proficient in C#, Python, and C++ with experience on cloud platforms (AWS, Azure, or Google Cloud).

The role focuses on designing, developing, and implementing software for industrial automation systems, collaborating with multidisciplinary teams to deliver scalable, high-performance solutions that optimize operational efficiency in reverse logistics contexts.

Formación

• Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.
• 5+ years of professional software development experience.
• Experience designing and implementing scalable, robust solutions for industrial automation environments.
• Proficiency with C++, Python, and C#, and understanding of software engineering principles.
• Experience with RESTful and GraphQL APIs.
• Familiarity with machine vision technologies (OpenCV) and hardware integration.
• Experience with ML models for real-time industrial applications (TensorFlow, PyTorch a plus).
• Knowledge of DevOps, CI/CD, automated testing, and data pipelines.

Responsabilidades

• Software Development: design, develop, implement, debug, and document software for industrial automation systems.
• Technical Leadership: provide guidance on best practices, participate in code reviews, maintain standards.
• Requirements Analysis & Collaboration: translate requirements into clear specifications with stakeholders.
• Research & Development: evaluate technologies, develop prototypes, expand tooling library.

Conocimientos

C++

Python

C#

RESTful APIs

GraphQL APIs

OpenCV

TensorFlow

PyTorch

DevOps

CI/CD

SQL

NoSQL

Cloud platforms

Docker

Kubernetes

Data visualization

Real-time data

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

OpenCV

Docker

Kubernetes

TensorFlow

PyTorch

AWS

Azure

Google Cloud

Descripción del empleo

DaBrein Solutions will be selecting a MAchine Learning - Software Engineer C#, Python, C++ with experience on Azure, AWS or GCP.

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

• Software Development
  • 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.
  • Solve 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 and selecting appropriate technologies.
  • Strong proficiency in programming languages such as 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, including tools like OpenCV and 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, and automated testing.
  • Experience with SQL and NoSQL databases, data modeling, and performance optimization.
  • Experience working with large datasets, real‑time data streaming, and data visualization tools.
  • Experience with cloud platforms (AWS, Azure, or 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 to handle challenging real‑time automation scenarios.
  • 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 (e.g., Modbus, OPC-UA, EtherCAT).
• Experience integrating with PLCs, SCADA, and HMI systems.