Senior MLOps Engineer
2 weeks ago
We are seeking a skilled Senior Machine Learning Operator (MLOps) with a strong DevOps foundation to build and manage the infrastructure that powers our entire machine learning ecosystem. You will be responsible for automating the ML lifecycle, ensuring our models are deployed, monitored, and scaled with maximum reliability and efficiency. Your work will be critical in enabling our data scientists and ML engineers to innovate faster by providing a robust, scalable, and automated platform. Job Responsibilities Design, build, and maintain robust, scalable CI/CD pipelines specifically for machine learning, automating data validation, model training, deployment, and testing. Take full ownership of the ML infrastructure, managing and provisioning cloud resources (AWS, GCP, or Azure) using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Develop and manage our containerization and orchestration strategy for ML services using Docker and Kubernetes (or platforms like Kubeflow). Implement comprehensive monitoring solutions to track model performance, data/concept drift, and system health, with automated alerting and response mechanisms. Establish and manage the central model registry and feature store, enforcing best practices for model versioning, lineage, and governance. Automate and optimize ML workflows by integrating disparate systems, APIs, and tooling to ensure seamless operations from development to production. Collaborate with Data Science, ML Engineering, and SRE teams to define and evangelize MLOps best practices across the organization. Any ad hoc duties as assigned. Job Requirements Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field. Min 3 to 5 years of experience in MLOps, DevOps or a related field. Strong command of DevOps practices and extensive experience building and managing CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Expertise in a major cloud platform (AWS, GCP, or Azure), including its native data, AI/ML, compute, and storage solutions. Proven, hands‑on experience with Infrastructure as Code (IaC) tools, particularly Terraform or CloudFormation. Practical experience with containerization (Docker) and orchestration technologies (Kubernetes) for deploying and scaling applications. Strong scripting proficiency (e.g., Python, Bash) for automation and building tooling. Direct experience with MLOps‑specific tools such as MLflow, Kubeflow, DVC, Seldon Core, or cloud‑native equivalents (e.g., Amazon SageMaker, Vertex AI). Familiarity with the machine learning lifecycle and its unique challenges (e.g., experiment tracking, data versioning, model monitoring). Experience supporting ML systems in the ride‑hailing industry, particularly around dynamic pricing, would be a strong plus. Proficiency with workflow orchestration tools like Apache Airflow is highly desirable. Experience with monitoring and logging tools like Guance, Prometheus, Grafana, or the ELK stack. A proactive and analytical approach to problem‑solving, with a systems‑thinking mindset. Strong ownership mentality with the ability to manage critical infrastructure and platforms independently. Excellent communication skills to collaborate effectively with cross‑functional technical teams. #J-18808-Ljbffr
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Senior MLOps Engineer
2 weeks ago
Singapur, Singapore Randstad Full timeOverview about company I am currently working with a well known biotechnology research company. Office located in Woodlands - but there's shuttle bus provided from multiple MRT stations. Salary structure: Base + bonus! Hybrid working arrangement - 2 days WFH. Working hours 8am to 5pm. Can end work early and have more personal time. Might need to take 7am US...
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Singapur, Singapore Home Team Science and Technology Agency (HTX) Full timeWhat the role is: HTX is the world’s first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of...
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Pre-sales Solution Architect
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Singapur, Singapore Adecco Full timePre-sales Solution Architect - AI / MLOps / GenAI at Adecco Base pay range Our client, an organization operates one of Asia's most comprehensive AI technology ecosystems, integrating cloud infrastructure, AI computing, and model development platforms to support enterprises and governments in digital transformation. Its AI business spans across AI chips,...
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Singapur, Singapore DSTA - Defence Science & Technology Agency Full timeOverview We are seeking an experienced, hands-on MLOps / MLSecOps Engineer to join our AI engineering team. This role bridges machine learning, operations, and security by ensuring that our ML pipelines and deployed AI systems are secure, resilient, and trustworthy. You will work closely with AI engineers, software developers, platform teams and security...
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Lead Machine Learning Platform Engineer
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Singapur, Singapore Sourceo Pte Ltd Full time1. JOB DESCRIPTION Job Title Senior Data Engineer Occupation ENGINEER Job Description & Requirements Job Description Qualifications Bachelor’s or Master’s in Computer Science, Software Engineering, Data Science, or equivalent experience 4+ years in data engineering, analytics, or related AI/ML role Proficient in Python for ETL/data engineering and Spark...
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Singapur, Singapore OPENSOURCE TECHNOLOGIES PTE. LTD. Full timeRole Overview The Senior Data Engineer is responsible for designing, building, and maintaining large-scale, secure, and high-performance data pipelines supporting critical Financial Services workloads. The role focuses on data modernization, regulatory data aggregation, and AI/ML enablement across domains such as Core Banking, Payments, Risk, Treasury, and...
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Senior Data Scientist
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Machine Learning Engineer
3 weeks ago
Singapur, Singapore SCIENTE Full timeDirect message the job poster from SCIENTE We are seeking an experienced Machine Learning / AI Engineer to join a dynamic and multicultural team within a leading global financial institution at the forefront of digital transformation and innovation. This role involves designing, building, and deploying end-to-end machine learning solutions across...
