ML Engineer

Roles & Responsibilities 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....

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...

**ML Engineer** **Responsibilities** - Responsible for ensuring that ML models and pipelines are deployed successfully into production - Implementation of ML features for new and existing systems - Automate model training, testing and deployment using CI/CD - Understand and implement metrics to verify effectiveness and soundness of the ML...

**Role : Lead ML Engineer** **Location : Singapore** **Duration : Long term contract** **Job Scope** - 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...

MLOps Engineer sits at the intersection of Machine Learning, Software/Data Engineering, and DevOps. They integrate the best practices from each of these fields to ensure the effective deployment and management of machine learning models in production environments. **Responsibilities**: - Technical Leadership: Ability to recommend and advocate for MLOps...

Job Overview We're seeking an exceptional AI/ML professional to spearhead the development of cutting-edge artificial intelligence and machine learning solutions. Responsibilities: Design, develop, and deploy machine learning models and algorithms. Work with large datasets to extract valuable insights and build robust data pipelines. Collaborate...

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,...

Roles & Responsibilities We are looking for passionate software engineers to join our ML Infrastructure team. Our team is at the forefront of building and maintaining scalable, high-performance infrastructure that empowers our machine learning engineers and data scientists to rapidly experiment with and innovate deep learning models for autonomous driving...

Toppan seeks to acquire developer-level expertise in the domain of Artificial Intelligence (AI) in general and Machine Learning (ML) in specific. In the AI role, the mission for AI/ML Engineer is to **develop intelligent algorithms capable of learning, analysing and predicting future events **. His/her role is to create machines capable of reasoning like...

We are seeking a highly skilled AI/ML engineer to join our team. The ideal candidate will have expertise in designing and developing functional AI/ML prototypes that demonstrate business value and are engineered for production.Key Responsibilities:Data Engineering: Conduct in-depth assessments of client data infrastructure, data governance, data quality,...