Ml Ops Engineer

7 hours ago

Singapore Rapsys Technologies Full time

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 design patterns, best practices, and tooling in an enterprise setting. Ability to lead the implementation of the same.
- Technical Debt Resolution: Address and resolve technical debt in current ML projects in production and incorporate best MLOps practices.
- Model Deployment: Deploy machine learning models and enhance automation in the deployment process.
- Automation and Checks: Implement and manage automation pipeline, set up necessary tests for continuous integration and deployment.
- Monitoring and Maintenance: Monitor data drift, model performance and other metrics in production and work with Data Scientists to retrain models and set up retraining pipelines.
- Security & Compliance: Ensure that ML systems comply with security standards and best practices in a cloud environment.
- Collaboration: Work closely with:

- o Data Engineers and data modellers to understand the data pipelines and data models.o Data scientists to understand experimental ML models and ensure that models are integrated and operationalized effectively.o Software engineers/IT to deploy infrastructure.Required Skillset:

- 7-10 years of overall experience in software engineering, data engineering, or MLOps preferably with enterprise-level, complex matrix organizations.
- Experience in setting up MLOps pipelines, systems and processes from scratch.
- Proven experience with AWS (Athena, Glue, ECS, EKS, VPC, etc.) and AWS SageMaker specifically for deploying machine learning models, enhancing automation and implementing necessary checks for continuous improvements.
- Develop and manage CI/CD pipelines (Azure Pipelines preferred) to automate model deployment, testing, and integration processes.
- Orchestration and monitoring of data pipelines and ML workflows, ensuring timely execution and monitoring (Apache Airflow preferred).
- Strong experience with Python and Bash for automating ML workflows, SQL and Pyspark for feature engineering.
- Familiarity with IaC tools such as Terraform or AWS CloudFormation for managing cloud infrastructure.
- Knowledge of security practices and compliance requirements for managing data and models in the cloud.
- Knowledge of Data Science/Machine Learning lifecycle and frameworks such as scikit-learn, Pytorch, Tensorflow.

Good to Have:

- Experience with Azure Synapse and Azure ML Studio
- Experience with Databricks
- Experience with dbt

**Job Type**: Contract
Contract length: 12 months

**Experience**:

- ML OPS: 8 years (preferred)

  • Software Engineer, ML Ops

    3 days ago

    Singapore MOTIONAL SINGAPORE PTE. LIMITED Full time

    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...

  • Ml Ops Engineer

    3 days ago

    Singapore MUNICH MANAGEMENT PTE. LTD. Full time

    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...

  • Software Engineer, Ml Ops

    2 weeks ago

    Singapore Motional Full time

    **Mission Summary** In this role, you'll initially focus on re-architecting and enhancing our dynamic provisioning platform for remote ML experiments, significantly improving the agility and efficiency of our ML development lifecycle. As we evolve, you'll contribute to broader ML infrastructure enhancements, ensuring our training ecosystem remains...

  • Software Engineer, ML Ops

    1 week ago

    Singapore Futureshaper Full time

    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...

  • Senior Software Engineer, ML Ops

    4 days ago

    Singapore, Central, Singapore Motional Full time $80,000 - $120,000 per year

    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...

  • Senior Software Engineer, ML Ops

    3 days ago

    Singapore MOTIONAL SINGAPORE PTE. LIMITED Full time

    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...

  • Backend Engineer

    5 days ago

    Singapore Motional Full time

    **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...

  • Ml Ops Engineer, Life and Health Regional

    1 week ago

    Singapore Munich Re Full time

    **ML Ops Engineer, Life and Health Regional AI/Analytics Centre**: Career Level 3 **Location** Singapore, Singapore 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...

  • AI/ML Pipeline Architect

    7 days ago

    Singapore beBeeInfrastructure Full time $120,000 - $150,000

    Artificial Intelligence Infrastructure SpecialistWe seek an accomplished Artificial Intelligence Infrastructure Specialist to lead the development and maintenance of scalable machine learning pipelines and infrastructure.Main Responsibilities:Design, implement, and maintain robust environments for building, testing, tracking production AI models and data...

  • Lead Specialist

    3 days ago

    Singapore GXS Bank Full time

    **Lead MLOps Engineer** We live in dynamic times where technology is reshaping how we live, and GXS is committed to redefining financial services by leveraging technology. Our aim is to enable underserved groups to easily access transparent financial services embedded in their everyday activities, helping them achieve a better quality of life. To do this,...