We are looking for a Senior Full Stack AI Engineer to design build and deploy production-ready AI solutions. This role requires strong hands-on experience in Python machine learning MLOps and cloud architectures with the ability to own complex systems end to end.
Requisitos
5 years of software engineering experience.
Strong Python experience in production environments.
Hands-on experience with TensorFlow and/or PyTorch.
Proven experience with MLOps and ML deployment.
Experience with cloud platforms (AWS GCP or Azure).
Solid understanding of microservices and distributed systems.
Good communication skills in English.
Responsibilities
Design and develop scalable AI-driven applications.
Deploy and operate machine learning models in production.
Build and maintain MLOps pipelines (training deployment monitoring).
Design distributed and cloud-based architectures.
Ensure code quality security and performance.
Collaborate with product and technical teams on complex solutions.
Nice to Have
Experience with LLMs / Generative AI.
Frontend experience (React or similar).
Data engineering or big data exposure.
Required Education:
Not required
We are looking for a Senior Full Stack AI Engineer to design build and deploy production-ready AI solutions. This role requires strong hands-on experience in Python machine learning MLOps and cloud architectures with the ability to own complex systems end to end.Requisitos5 years of software enginee...
We are looking for a Senior Full Stack AI Engineer to design build and deploy production-ready AI solutions. This role requires strong hands-on experience in Python machine learning MLOps and cloud architectures with the ability to own complex systems end to end.
Requisitos
5 years of software engineering experience.
Strong Python experience in production environments.
Hands-on experience with TensorFlow and/or PyTorch.
Proven experience with MLOps and ML deployment.
Experience with cloud platforms (AWS GCP or Azure).
Solid understanding of microservices and distributed systems.
Good communication skills in English.
Responsibilities
Design and develop scalable AI-driven applications.
Deploy and operate machine learning models in production.
Build and maintain MLOps pipelines (training deployment monitoring).
Design distributed and cloud-based architectures.
Ensure code quality security and performance.
Collaborate with product and technical teams on complex solutions.
Nice to Have
Experience with LLMs / Generative AI.
Frontend experience (React or similar).
Data engineering or big data exposure.
Required Education:
Not required
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