ML Ops Engineer

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...

ML Ops Engineer **Location**: Hong Kong, Singapore **Key Responsibilities**: - Develop and manage MLOps infrastructure to facilitate the deployment, scaling, and monitoring of machine learning models. - Work collaboratively with data scientists and engineering teams to move machine learning models from development to production smoothly. - Implement and...

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...

Artificial intelligence (AI) and advanced analytics are transforming the insurance industry across the value chain. Munich Re is at the forefront of this trend, having made a significant investment in start-of-the-art analytics infrastructure and software, central and regional analytics centers and several analytics initiatives with clients worldwide. An...

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 applications.In this role,...

Mission Summary 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...

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...

**About this position** We are looking for talented** Backend Engineer (ML Ops, Python)** who are enthusiastic about building core software and infrastructure for mapping. Our services focus on automated annotations for city-scale maps using machine learning. You will drive our efforts towards deployment, post-processing and infrastructure of these...

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 applications.In this role,...

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 and...