ML Platform Engineer

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Client data scientists. **Technical Skills** - Proficiency in Python used both for ML and automation tasks - Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have. - Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI,...

A leader in Shipping and Logistics company is currently expanding and looking for highly qualified candidates for the Machine Learning Ops Engineer position based in Singapore. Responsibilities Develop and maintain end-to-end ML pipelines for training, evaluation, and deployment Deploy and manage models on platforms like Vertex AI, SageMaker, or Azure ML,...

Qualifications Requirements At least 3-5 years of experience as an ML Engineer, MLOps Engineer, or equivalent. Strong proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow. Proven experience with AWS ML services, including SageMaker, Glue, Lambda, Step Functions, S3, and CloudWatch. Familiarity with CI/CD...

Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements - Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD...

Roles & ResponsibilitiesQualificationsRequirementsAt least 3-5 years of experience as an ML Engineer, MLOps Engineer, or equivalent. Strong proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow. Proven experience with AWS ML services, including SageMaker, Glue, Lambda, Step Functions, S3, and CloudWatch. Familiarity...

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve...

7+ years of experience in Machine Learning engineering or AI system integration.Bash and Unix/Linux command-line toolkit is a must-have.Hands-on experience with OpenShift, Docker, Kubernetes.Knowledge of cloud platforms (e.g. AWS) is a must-have.Exposure to data and network security and compliance in AI systems.Knowledge of API integration and microservices...

**Job Description**: **Life at Grab** At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast...

**Job Summary**: **Salary** S$10,344 - S$15,453 / Monthly EST **Job Type** Permanent **Seniority** Manager **Years of Experience** At least 6 years **Tech Stacks** Strategy AWS R Azure Java Python - As our Senior Machine Learning Engineering Manager, you'll lead the evolution of Grab's ML Platform. This is a high-impact role where you'll shape the way...

We are looking for a highly motivated and experiencedAI Engineerto join our team and lead the development of intelligent solutions usingAdvanced Python,Machine Learning (ML)andArtificial Intelligence (AI)techniques. The ideal candidate will have strong expertise inAPI integration,Natural Language Processing (NLP), and building scalable AI-driven...