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Python Developer (Regular) @ Scalo
Build and deploy Python-based applications, including ML/LLM models, on Linux and Kubernetes in GCP, troubleshoot systems, and collaborate with MLOps teams.
Python Developer
Build and deploy ML and LLM-based applications in Python, running on Linux, Kubernetes, and GCP, while troubleshooting and collaborating in an MLOps team.
Python Developer room
Build and maintain Python backend services for AI-driven banking/finance projects using FastAPI, LLM, RAG, and cloud AI services in Azure/GCP.
Senior DevOps/MLOps Engineer - AI Pipelines & Cloud
Designs and maintains AI/ML data pipelines and cloud infrastructure using Python, R, and Azure for an AI-focused tech company in Montreal.
Montréal [Hybrid] - DevOps - MLOps engineer
Build and maintain cloud infrastructure for AI models, automate deployments with CI/CD, and optimize GPU-powered production environments using DevOps/MLOps tools like Terraform, Kubernetes, and MLflow.
DevOps Data Engineer
Build and optimize data pipelines, APIs, and containerized analytics tools using Python, SQL, Kafka, Spark, and AWS to deliver business intelligence and support AI/ML workflows.
Lead DevOps & Platform Engineer
Lead DevOps & Platform Engineer builds and secures the Azure-based cloud foundation for a healthcare AI startup, establishing IaC, CI/CD, observability, and AI-safe engineering practices.
AI-Driven MLOps DevOps Engineer
Design and maintain AI infrastructure and MLOps pipelines, automating AI deployments with cloud tools (AWS, Azure) and AI-assisted scripting in an Agile team.
Cloud Platform DevOps Engineer - Assistant Vice President
Designs, builds, and maintains secure, scalable cloud infrastructure for AI/ML platforms and DevOps tooling, using Kubernetes, Helm, and CI/CD pipelines while mentoring teams.
Senior DevOps Engineer, AI Infrastructure
Build and deploy Generative AI systems for financial applications, including RAG pipelines, vector databases, and AI agents, using Python, AWS Bedrock, and LangGraph.
DevSecOps / DevOps Engineer (GenAI & Cloud Platforms)
Build and maintain CI/CD pipelines, cloud infrastructure, and containerized apps using Kubernetes and Docker for AI/ML and cloud-native platforms.
Sr. DevOps Engineer
Senior DevOps Engineer builds and operates cloud-native platforms, CI/CD pipelines, and Kubernetes clusters to support scalable, secure AI/ML workloads for a global adtech and AI-focused company.
DevOps Engineer
DevOps Engineer builds and maintains CI/CD pipelines for Azure-based data analytics pipelines, automates deployments, and optimizes cloud infrastructure to support data product delivery.
Senior AI Full-Stack Software Developer (Python/React)
Build and scale AI-powered full-stack applications using Python and React, optimizing platform performance and guiding the development team.
Montréal [Hybrid] AI-Native Python Developer
Build and deploy AI/ML models in Python for fintech use cases, using LLMs and MLOps pipelines while leveraging AI tools to accelerate development.
Analytics Engineer
Build and maintain ML models and analytics pipelines in Python/SQL on GCP, then deploy and monitor them using MLOps practices and tools like Bokeh and Git.
MLOps Azure DevOps Engineer
Build and maintain scalable ML pipelines on Azure, automating training, deployment, and monitoring with DevOps practices and Kubernetes.
AI DevOps Engineer
Build and run the production infrastructure for Ingersoll Rand’s GenAI program, automating CI/CD, observability, and reliability for LLM-powered apps on GCP and Snowflake.
AI DevOps Engineer
Build and operate the cloud and DevOps infrastructure that powers Ingersoll Rand’s GenAI program, focusing on GCP, Snowflake, CI/CD, and observability for LLM-based applications.
AI DevOps Engineer
Build and operate the cloud and MLOps infrastructure that powers Ingersoll Rand’s GenAI program, focusing on GCP, Snowflake, CI/CD, and AI observability.