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Senior MLOps Engineer
SysMap SolutionsMLOps Engineer designing and maintaining CI/CD pipelines for ML applications at Triggo.ai. Collaborating with data science teams to operationalize machine learning models.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining CI/CD pipelines for machine learning models, operationalizing model lifecycles, and implementing observability practices. Proficient in Python and experienced with MLOps best practices, particularly in large-scale data processing and platform engineering.
Highest-signal resume keywords
MLOps EngineeringPython ProficiencyPipeline Orchestration (Airflow, Databricks Workflows)Model Versioning and Registry (MLflow)Large-Scale Data Processing (Spark)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
CI/CD Pipeline DesignModel Lifecycle OperationalizationPerformance MonitoringData/Model Drift DetectionFeature Store ImplementationExperiment ReproducibilityCost OptimizationVersion ControlCode ReviewAnalytical Data Modeling
Soft Skills
CollaborationDocumentationStandardization
Tools & Technologies
DatabricksGitHub ActionsAzure DevOpsUnity CatalogDelta LakeManaged MLflowModel ServingWorkflowsSparkAirflow
Industry Keywords
MLOpsData EngineeringPlatform EngineeringModel GovernanceData Quality
Tech Stack
Tools & technologiesAirflowAzurePythonSparkUnity
About the role
Key responsibilities & impact- Design and maintain CI/CD pipelines for ML models and LLM/RAG applications (training, packaging, deployment, and rollback);
- Operationalize the model lifecycle: versioning, model registry, feature stores, orchestration, and experiment reproducibility;
- Build and scale serving platforms (batch and online) with focus on latency, cost, and availability;
- Implement end-to-end observability: performance monitoring, data/model drift detection, data quality, and business metrics;
- Establish governance, security, and cost-control practices for data and AI infrastructure;
- Collaborate with data science and engineering teams to standardize environments and reduce time from lab to production;
- Define standards, documentation, and MLOps/LLMOps best practices for squads.
Requirements
What you’ll need- **Requirements:**
- - Solid experience as an MLOps, Data, or Platform Engineer, with production model deployments;
- - Proficiency in Python and software engineering best practices (testing, version control, code review);
- - Experience with pipeline orchestration (e.g., Airflow, Databricks Workflows) and CI/CD (GitHub Actions, Azure DevOps, or similar);
- - Experience with model versioning and model registry (MLflow) and production monitoring;
- - Experience with large-scale data processing (Spark) and analytical data modeling.
- **Differentials (strong preference for Databricks):**
- - Practical experience with the Databricks platform (Unity Catalog, Delta Lake, managed MLflow, Model Serving, Workflows, and clusters);
- - Cost and performance optimization of Spark jobs and clusters on Databricks;
- - Experience with feature stores, drift monitoring, and model evaluation frameworks.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account SysMap Solutions Website LinkedIn All Job Openings 1001 - 5000 employees Founded 1999 SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. Senior MLOps Engineer Job not on LinkedIn 🔥 15 minutes ago 🇧🇷 Brazil – Remote ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer 🗣️🇧🇷🇵🇹 Portuguese Required Airflow Azure Python Spark Unity Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design and maintain CI/CD pipelines for ML models and LLM/RAG applications (training, packaging, deployment, and rollback);
- Operationalize the model lifecycle: versioning, model registry, feature stores, orchestration, and experiment reproducibility;
- Build and scale serving platforms (batch and online) with focus on latency, cost, and availability;
- Implement end-to-end observability: performance monitoring, data/model drift detection, data quality, and business metrics;
- Establish governance, security, and cost-control practices for data and AI infrastructure;
- Collaborate with data science and engineering teams to standardize environments and reduce time from lab to production;
- Define standards, documentation, and MLOps/LLMOps best practices for squads. 🎯 Requirements
- **Requirements:**
- - Solid experience as an MLOps, Data, or Platform Engineer, with production model deployments;
- - Proficiency in Python and software engineering best practices (testing, version control, code review);
- - Experience with pipeline orchestration (e.g., Airflow, Databricks Workflows) and CI/CD (GitHub Actions, Azure DevOps, or similar);
- - Experience with model versioning and model registry (MLflow) and production monitoring;
- - Experience with large-scale data processing (Spark) and analytical data modeling.
- **Differentials (strong preference for Databricks):**
- - Practical experience with the Databricks platform (Unity Catalog, Delta Lake, managed MLflow, Model Serving, Workflows, and clusters);
- - Cost and performance optimization of Spark jobs and clusters on Databricks;
- - Experience with feature stores, drift monitoring, and model evaluation frameworks. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Machine Learning Engineer 🕒 Yesterday Hand Talk 51 - 200 📚 Education 🌍 Social Impact Website LinkedIn All Job Openings Machine Learning Engineer developing and deploying ML models for innovative communication solutions at HandTalk. Also responsible for optimizing systems and working in a collaborative environment. 🇧🇷 Brazil – Remote 💰 $670k Seed Round on 2018-08 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🗣️🇧🇷🇵🇹 Portuguese Required AWS Cloud Docker Kubernetes Python PyTorch Scikit-Learn Tensorflow Senior MLOps Engineer 🕒 4 days ago Extractta 201 - 500 Website LinkedIn All Job Openings Senior MLOps Engineer responsible for the full lifecycle of machine learning systems. Involved in developing cloud infrastructure and ensuring best practices in software development. 🇧🇷 Brazil – Remote ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer 🗣️🇧🇷🇵🇹 Portuguese Required Airflow AWS Azure Docker Google Cloud Platform Java Kafka Kubernetes Python Rust Spark Terraform Senior Machine Learning Engineer 🕒 6 days ago Sigma Software Group 1001 - 5000 🎮 Gaming 📡 Telecommunications Website LinkedIn All Job Openings Senior Machine Learning Engineer developing scalable ML solutions for digital advertising at Sigma Software. Collaborating with international experts on intelligent forecasting and advertising optimization systems. 🇧🇷 Brazil – Remote ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer Apache AWS Cloud Distributed Systems Kafka Python SDLC Spark Go Machine Learning Engineer, CX Intelligence 🕒 July 7 Coinbase 1001 - 5000 ₿ Crypto 💸 Finance 💳 Fintech Website LinkedIn All Job Openings Machine Learning Engineer at Coinbase designing and scaling AI-powered customer support solutions. Collaborating across teams to build automation systems and enhance customer experience. 🇧🇷 Brazil – Remote 💵 R$347.9k / year 💰 $21.4M Post-IPO Equity on 2022-11 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer Microservices Python React Senior Machine Learning Engineer 🕒 July 6 GFT Technologies 10,000+ employees 🔒 Cybersecurity 📋 Compliance ☁️ SaaS Website LinkedIn All Job Openings Senior Machine Learning Engineer developing scalable AI solutions at GFT. Focused on generative AI, MLOps, and collaborative product delivery. 🇧🇷 Brazil – Remote ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer 🗣️🇧🇷🇵🇹 Portuguese Required Python PyTorch Tensorflow View More Machine Learning Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs