20 publicaciones de empleo destacadas de stack engineer en ramos mejía, b (¡Están contratando!)

Machine Learning Engineer (Edge AI & Computer Vision)
Marvik —Buenos Aires, Buenos Aires
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Staff Software Engineer - Insurance
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Cloud DevOps Engineer - Latin America - Remote
Azumo —Buenos Aires, Buenos Aires
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QA Engineer
Intraway —Buenos Aires, Buenos Aires
Senior Systems Engineer - Email Deliverability & Infrastructure
Mission Inbox —Palermo, Buenos Aires
- Tiempo completo
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Senior AI/ML Engineer (GenAI, AWS)
Provectus —Buenos Aires, Buenos Aires
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Postulación rápida
Senior Frontend Engineer
Canals —Buenos Aires, Buenos Aires
- Tiempo completo
AI Product Engineer SSR / SR
Techunting —Buenos Aires, Buenos Aires
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Senior Front-End Engineer (VueJS)
Curotec —Buenos Aires, Buenos Aires
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Portfolio Leader (Builder People Leader)
Salesforce —Buenos Aires, Buenos Aires
- Tiempo completo
Software Engineer I - Identity & Access Management (IAM)
Despegar —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
2d
Senior Software Architect (100% Remote - Worldwide)
Tether Operations Limited —Buenos Aires, Buenos Aires
- Tiempo completo
4d
Senior AI Fullstack Developer
Marvik —Buenos Aires, Buenos Aires
Junior Software Engineer with Accounting Experience (Argentina)
Sezzle —Buenos Aires, Buenos Aires
Marketing Project Manager, Paid Media
Sweat Pants Agency —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
10d
Senior Infrastructure Engineer (Core Systems)
Pearster —Capital Federal, Buenos Aires
Middle iOS Engineer
Avenga —Buenos Aires, Buenos Aires
4d

Quiero recibir la alerta de empleo más reciente para stack engineer en ramos mejía, b

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Machine Learning Engineer (Edge AI & Computer Vision)

Marvik -
Buenos Aires, Buenos Aires

Postulate ahora

Detalles del empleo

Indefinido

Descripción completa del empleo

Want to work with cutting-edge technologies on long-term, strategic projects that combine Deep Learning, Computer Vision, Edge AI, and IoT?

At Marvik, we are leading the next evolution of smart machinery—integrating vision capabilities, real-time image processing, and multi-sensor fusion into physical products operating in real environments.

What do we offer?:

Challenging, real-world projects: Work on stuff other people only read about—bringing AI out of the cloud and straight into physical, intelligent machinery.
State-of-the-art tech stack: Optimize and deploy cutting-edge Computer Vision and Deep Learning models on Edge devices.
Strategic growth: Join an expanding team with huge potential for long-term ownership, leadership, and professional development.
Great team culture: Excellent work environment full of highly motivated, collaborative, and talented professionals who elevate each other.
Global exposure & On-site experiences: Opportunity to travel internationally to work directly with clients.
Flexible work style: Opportunity to work remotely with global, high-impact clients.

‍ Responsibilities:

Take end-to-end ownership of Machine Learning models, moving them beyond training and ensuring reliable deployment in production on physical hardware.
Design, build, and optimize real-time AI pipelines, integrating foundation models, sensor and application data, and scalable inference workflows.
Optimize inference performance, memory usage, and execution speed for Edge AI platforms (e.g., NVIDIA Jetson, embedded platforms).
Collaborate directly with clients and cross-functional engineering teams, building trust, proposing proactive solutions, and maintaining smooth technical communication.
Debug, monitor, and maintain production models operating continuously under real-world hardware constraints.

If you have:

Strong experience bringing AI to production: It’s not just about training models—you know how to make them run reliably in real-world environments.
Solid background in AI & Deep Learning, including experience with LLMs, Computer Vision, multimodal models, model optimization, and efficient inference.
Edge AI & Embedded exposure: Experience optimizing models for constrained devices (TensorRT, ONNX, OpenCV, C++, or Python).
Strong Ownership & Soft Skills: Highly collaborative, proactive, independent, and clear in technical communication. A team player who builds trust with clients and peers.
Advanced English level: Excellent verbal and written communication skills to interact directly with international client teams.
Required tools: Python, C++, PyTorch/TensorFlow, OpenCV, Docker, Git.

It’s a major plus:

Hands-on experience with NVIDIA Jetson, ROS/ROS2, or embedded hardware platforms.
Experience in domains such as Robotics, IoT, Drones, Automotive, or Industrial Machinery.
Knowledge of sensor fusion (IMU, cameras, LiDAR) or OTA (Over-The-Air) updates and Cloud IoT architectures (AWS/Azure IoT).

Postulate ahora

Refiná tu búsqueda

stack engineer empleos en ramos mejía, b

Machine Learning Engineer (Edge AI & Computer Vision)

Full Stack Engineer

Solutions Engineer

Full Stack Engineer Senior – Node.js & React

Staff Software Engineer - Insurance

Cloud DevOps Engineer - Latin America - Remote

QA Engineer

Senior Systems Engineer - Email Deliverability & Infrastructure

Senior AI/ML Engineer (GenAI, AWS)

Senior Frontend Engineer

AI Product Engineer SSR / SR

Senior Front-End Engineer (VueJS)

Portfolio Leader (Builder People Leader)

Software Engineer I - Identity & Access Management (IAM)

Senior Software Architect (100% Remote - Worldwide)

Senior AI Fullstack Developer

Junior Software Engineer with Accounting Experience (Argentina)

Marketing Project Manager, Paid Media

Senior Infrastructure Engineer (Core Systems)

Middle iOS Engineer

Quiero recibir la alerta de empleo más reciente para stack engineer en ramos mejía, b

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