We are seeking an MLOps / DevOps Engineer with experience in cloud platforms and machine learning workflows.
As part of the Digital Data Science team, you will support the development, automation, and deployment of next-generation ML models and data-driven solutions.
Your work will directly impact how machine learning models are built, deployed, and scaled across production environments.
You will collaborate closely with Data Scientists and Engineering teams to ensure seamless integration of ML workflows into scalable systems.
This role requires a balance of technical skills, problem‐solving abilities, and a proactive mindset to deliver efficient and reliable solutions.
You will have the opportunity to contribute to high‐impact projects for a Fortune 500 client while growing your expertise in modern MLOps practices.ResponsibilitiesBuilding tools for automation around ML workflows orchestration and model deployments using CI/CD workflowsAutomating infrastructure deployments and tool configurations using Terraform or similar IaC toolsWriting clean, maintainable and testable code using Python, Go or other object‐oriented programming languages (e.G., Java)Troubleshooting and resolving issues related to ML workflow deployments in production environmentsGenerating and maintaining operational reporting pipelines using tools such as BigQuery,



Looker and TableauCollaborating closely with Data Scientists to improve developer workflows and ensure seamless integration with toolsWorking cross‐functionally with general teams to support ML systems and deploymentsSkillsHands‐on experience with Vertex AI or similar platforms (e.G., Amazon SageMaker)Understanding of ML models, model deployment, monitoring and scaling in production environmentsProficiency in Python (1–3 years of experience)Basic experience with GCP or AWSExperience with Kubernetes or other container orchestration platformsFamiliarity with CI/CD pipelines and infrastructure automationBasic knowledge of SQL and reporting tools (BigQuery, Looker, Tableau)Understanding of cloud technologies and distributed systemsFamiliarity with security best practices in cloud and containerized environmentsAbility to write unit tests and integration tests, delivering clean and reusable codeStrong problem‐solving and debugging skillsNice to HaveExperience with eCommerce / digital platformsExposure to Terraform or other Infrastructure as Code toolsExperience working with ML workflows and data pipelinesFamiliarity with GenAI tools to optimize and automate processesExperience collaborating in cross‐functional teams (Data Science + Engineering)Soft SkillsPragmatism; ability to prioritize, simplify, and focus on delivering resultsProactive mindset; takes ownership and initiative without constant directionStrong communication skills to collaborate with technical and non‐technical stakeholdersAbility to work in a fast‐paced, dynamic environmentAttention to detail and strong analytical thinkingEducationB.S.
or M.S. degree in Computer Science or comparable experience#J-*****-Ljbffr

📌 Mlops Engineer – Level I (Monterrey)
🏢 Confiz
📍 Monterrey