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Senior Machine Learning Engineer
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At Optimum Solutions (Singapore) PTE LTD, we are seeking a highly skilled Lead Machine Learning Engineer to join our team. As a key member of our data science team, you will be responsible for designing, developing, and deploying machine learning models that drive business value.
Key Responsibilities:- Conduct reviews of machine learning models to ensure compliance with platform governance principles, providing feedback to data scientists for potential improvements.
- Develop pipelines for continuous operation, feedback, and monitoring of machine learning models, leveraging best practices from the CI/CD vertical within the MLOps domain.
- Optimize AI development environments for usability, reliability, and performance.
- Collaborate with infrastructure and application development teams to integrate machine learning models into enterprise applications.
- Work with data engineers to ensure data storage and pipelines are working as intended.
- Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective.
- At least 10 years of experience as a machine learning engineer, working with Python, ML libraries, and large-scale data processing frameworks.
- Advance proficiency in Python used for machine learning and automation tasks.
- Experience working with machine learning libraries such as Pandas, NumPy, H2O, or TensorFlow.
- Experience working with large-scale data processing frameworks, such as Hadoop, Spark, or Dask.
- Knowledge of OpenShift/Kubernetes is a must-have.
- Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
- Hands-on experience building CI/CD pipelines orchestration using Jenkins, GitLab CI, GitHub Actions, or similar tools.
- Knowledge in the operationalization of data science projects (MLOps) using at least one of the popular frameworks or platforms.
- Knowledge of cloud platforms, such as AWS, GCP.
- Experience in defining processes, standards, frameworks, prototypes, and toolsets in support of AI and ML development, monitoring, testing, and operationalization.
- Experience in ML operationalization and orchestration (MLOps) tools, techniques, and platforms.
We are looking for a highly skilled and experienced machine learning engineer who can lead our team in designing, developing, and deploying machine learning models that drive business value. If you have a strong background in machine learning, experience working with large-scale data processing frameworks, and a passion for innovation, we encourage you to apply for this exciting opportunity.