Remote AI/ML & GenAI Engineer (Forward-Deployed)

Jobgether; España; A distancia; CAD 139.000 - 166.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Competitive salary

Cutting-edge AI projects

Descripción de la vacante

Jobgether in Canada seeks an experienced AI/ML & Forward Deployed Engineer to design, deploy, and scale GenAI solutions. You will work across the full AI lifecycle, from concept to production, focusing on security, governance, observability, and data quality.

You will collaborate with stakeholders to translate business challenges into practical AI applications, building ML models, GenAI apps, and production pipelines using LLMs, RAG, embeddings, and REST/gRPC APIs.

Formación

• 8+ years of professional software engineering or technical engineering experience.
• Strong hands-on experience in Machine Learning and AI/ML Engineering.
• Advanced Python development skills and practical experience with deep learning and machine learning techniques.
• Experience with NLP, forecasting, classification, regression, and anomaly detection.
• Proven experience building GenAI applications using LLMs and Retrieval-Augmented Generation (RAG) architectures.
• Strong understanding of embeddings, retrieval tuning, reranking, prompt engineering, and AI/LLM evaluation methodologies.
• Solid knowledge of MLOps and LLMOps principles across the AI development lifecycle.
• Hands-on experience with Docker, Kubernetes, and CI/CD technologies for production deployments.

Responsabilidades

• Design, develop, and deploy machine learning, AI, and GenAI solutions from proof of concept through production.
• Build and optimize ML models and applications covering deep learning, NLP, forecasting, classification, regression, and anomaly detection use cases.
• Develop production-grade GenAI applications using LLMs, RAG pipelines, embeddings, retrieval optimization, reranking, and prompt engineering.
• Design and implement AI evaluation frameworks to assess model quality, reliability, relevance, and performance.
• Build scalable AI services and integrations using REST and gRPC APIs as well as event-driven architectures.
• Establish and maintain MLOps and LLMOps practices covering deployment, automation, versioning, monitoring, and lifecycle management.
• Containerize and orchestrate AI applications using Docker and Kubernetes and integrate them into robust CI/CD pipelines.
• Implement model monitoring, drift detection, performance tracking, and processes for continuous model improvement.
• Ensure AI solutions meet enterprise requirements for data quality, governance, security, RBAC, encryption, and auditability.
• Collaborate with business and technical stakeholders to understand requirements, identify opportunities for AI adoption, and translate them into effective technical solutions.

Conocimientos

8+ years experience

Python development

ML/AI engineering

LLMOps/ML Ops

REST & gRPC APIs

Kubernetes

Herramientas

Docker

Descripción del empleo

Jobgether in Canada seeks an experienced AI/ML & Forward Deployed Engineer to design, deploy, and scale GenAI solutions. You will work across the full AI lifecycle, from concept to production, focusing on security, governance, observability, and data quality.

You will collaborate with stakeholders to translate business challenges into practical AI applications, building ML models, GenAI apps, and production pipelines using LLMs, RAG, embeddings, and REST/gRPC APIs.