Senior Machine Learning Engineer (Production & MLOps Focus)

Senior DevOps Engineer

Testing

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: Cloud Infrastructure Design and Deployment: <ul><li>Architect, design, and implement scalable, reliable, and secure solutions on GCP.</li><li>Deploy and manage GCP services in both development and production environments, ensuring seamless integration with existing infrastructure.</li><li>Implement and manage core services such as BigQuery, Datafusion, Cloud Composer (Airflow), Cloud Storage, Data Fusion, Compute Engine, App Engine, Cloud Functions and more.</li></ul> Infrastructure as Code (IaC) and Automation: <ul><li>Develop and maintain infrastructure as code using Terraform or CLI scripts to automate provisioning and configuration of GCP resources.</li><li>Establish and document best practices for IaC to ensure consistent and efficient deployments across environments.</li></ul> DevOps and CI/CD Pipeline Development: <ul><li>Create and manage DevOps pipelines for automated build, test, and release management, integrating with tools such as Jenkins, GitLab CI/CD, or equivalent.</li><li>Work with development and operations teams to optimize deployment workflows, manage application dependencies, and improve delivery speed.</li></ul> Security and IAM Management: <ul><li>Handle user and service account management in Google Cloud IAM.</li><li>Set up and manage Secrets Manager and Cloud Key Management for secure storage of credentials and sensitive information.</li><li>Implement network and data security best practices to ensure compliance and security of cloud resources.</li></ul> Performance Monitoring and Optimization: <ul><li>Monitoring &amp; Security: Set up observability tools like Prometheus, Grafana, and integrate security tools (e.g., SonarQube, Trivy).</li><li>Networking &amp; Storage: Configure DNS, networking, and persistent storage solutions in Kubernetes.</li><li>Set up monitoring and logging (e.g., Cloud Monitoring, Cloud Logging, Error Reporting) to ensure systems perform optimally.</li><li>Troubleshoot and resolve issues related to cloud services and infrastructure as they arise.</li></ul> Workflow Orchestration: <ul><li>Orchestrate complex workflows using Argo Workflow Engine.</li><li>Containerization: Work extensively with Docker for containerization and image management.</li><li>Optimization: Troubleshoot and optimize containerized applications for performance and security.</li></ul> Requirements:﻿ <ul><li>Bachelors or masters degree in computer science, Information Technology, or a similar field</li><li>Must have 10 + years of extensive experience in designing, implementing, and maintaining applications on GCP and OpenShift</li><li>Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring</li><li>Solid understanding of cloud security best practices and experience in implementing security controls in GCP</li><li>Thorough understanding of cloud architecture principles and best practices</li><li>Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles</li><li>Proven leadership skills and the ability to mentor and guide a technical team</li></ul>

<h2>About the job</h2> About Tabsquare TabSquare provides AI-powered technology solutions for the F&amp;B industry. Through TabSquares solutions, restaurants can efficiently manage orders, process payments, and effectively engage with their customers. TabSquare assists partner restaurants in driving higher sales, streamlining operations, and delivering an enhanced customer experience. TabSquare is a market leader with operations in Singapore, Malaysia, Indonesia, Australia, the Philippines, Taiwan, Thailand, Hong Kong, Sweden, and the UAE. Trusted by thousands of restaurants, TabSquares clients include well-known F&amp;B brands such as Pizza Hut, KFC, Minor Food Group, Sushi Tei, Paradise Food Group, Japan Foods Holding, Zingrill Holdings, The Coffee Club, Old Town White Coffee, Secret Recipe, and many more. TabSquare is a wholly owned subsidiary of Delivery Hero, a global leader in the food delivery industry. For more information, visit <a href="http://www.tabsquare.ai/" rel="noopener noreferrer" target="_blank" style="color: var(--color-text);">http://www.tabsquare.ai</a> Responsibilities: <ul><li>Estimate, plan, prioritize and coordinate testing activities for the cross functional QA team.</li><li>Review requirements, specifications or design documents to provide timely and meaningful feedback</li><li>Create detailed, comprehensive, and well-structured documentations, test plans and test cases.</li><li>To perform system testing and end-user testing on our suite of solutions (end to end); comprising web-based applications, mobile apps on both Android and iOS platforms.</li><li>Track QA metrics, like defect densities and open defect counts and do updates on daily, weekly and monthly basis. </li><li>Design, develop and execute Automation Scripts using Katalon Studio / Selenium or similar tools.</li><li>Support and manage UAT, Sanity, Regression activities in multiple environments.</li><li>Monitor, debug and compare the system logs, error using Datadog in multiple environments.</li><li>Work closely with the stakeholders, engineering team and also the product team, to ensure the quality/stability of the software releases.</li><li>Research on new technologies or market trends, to be able to propose new solutions/features, recommendations or ideas to improve the software solution.</li><li>Adopts and improves all required QA Processes, SOP and Ground Rules as needed.</li><li>Perform other relevant duties as assigned by Head/Managers.</li></ul> The Employee, as per business needs, may be required to undertake any other such duties as may be assigned in line with the employee’s position, skills, and capabilities. Requirements: <ul><li>Bachelors degree in Computer Science / Application or related major.</li><li>Minimum 4-6 years of hands-on experience in Manual &amp; Automation Testing.</li><li>Excellent communication skills and a good command of English.</li><li>Self-motivated, detail-oriented, with strong analytical and problem solving skills. Able to work independently with minimum supervision.</li><li>Good understanding of the software development, testing &amp; bug life cycle process.</li><li>Strong technical experience and ability to automate tests using Java, JS or Python.</li><li>Technical experience with API’s, JSON, SQL, HTML and tools like Postman to check &amp; validate test results.</li><li>Technical experience with CI/CD tools like Jenkins, Gitlab and Load Test tools like Locust, JMeter.</li></ul> Tools / Technology: Selenium, Cucumber, Java, Rest Assured, Katalon, Appium, JMeter, Locust, TestRail, Datadog, PostMan, Sequel Pro, Slack, Atlassian.

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Senior Machine Learning Engineer (Production & MLOps Focus)

Senior DevOps Engineer

Testing

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3 gitlab Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Senior DevOps Engineer

Testing

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