Job Summary
SGX is looking for a Machine Learning Engineer who is passionate about building scalable data/machine learning platforms and pioneering solutions. As a Machine Learning Engineer you will play a crucial role in transforming how we run and deploy AI/ML models. Your work will directly impact our ability to build and deliver AI/ML use cases that will augment our users in their work or enable business opportunities. By enhancing our machine learning platform you will enable us to make data-driven decisions and drive innovation across the organization. This is a 2-year contract role with an option for extension.
Job Responsibilities
- Design and build scalable data platforms (including machine learning platforms) to support AI/GenAI use cases streamline data storage democratization model deployment and support feature engineering modeltraining deployment model monitoring and inference.
- Develop and integrate data pipelines for continuous development integration testing and scalable machine learning services.
- Migrate existing data science projects to the new cloud machine learning platform.
- Collaborate with data scientists and data engineers to design implement and integrate data pipelines.
- Improve/automate existing model training feature engineering and evaluation pipelines enabling the feedback loop of taking in labelled data from users/source systems for model re-training/tuning.
- Design and develop CI/CD pipeline consistent logging tracking and monitoring of pipelines and model performance to ensure consistent model performance and alert mechanisms for model drift.
- Support data extraction and transformation for projects and users needs.
- Review support improve and run the platform including the existing data platform/machine learning server and environment management.
- Provide support for data-related queries extraction and discrepancies.
- Stay abreast of and analyze industry developments to identify areas of continuous improvement.
Job Requirements
- Bachelors or Masters degree in Computer Science Artificial Intelligence Machine Learning or a related field.
- 2-4 years of experience in setting up a machine learning platform developing and deploying machine learning models and AI solutions.
- Familiarity with machine learning platforms LLM Lang Chain.
- Proficiency in Python SQL and modern AI/ML algorithms with experience in deploying solutions into production. Experience with GCP/Vertex AI is a plus.
- Highly driven proactive and a strong team player. Excellent interpersonal written and verbal communication skills in English. Ability to multitask effectively and handle large amounts of data.
Job Summary SGX is looking for a Machine Learning Engineer who is passionate about building scalable data/machine learning platforms and pioneering solutions. As a Machine Learning Engineer you will play a crucial role in transforming how we run and deploy AI/ML models. Your work will directly impac...
Job Summary
SGX is looking for a Machine Learning Engineer who is passionate about building scalable data/machine learning platforms and pioneering solutions. As a Machine Learning Engineer you will play a crucial role in transforming how we run and deploy AI/ML models. Your work will directly impact our ability to build and deliver AI/ML use cases that will augment our users in their work or enable business opportunities. By enhancing our machine learning platform you will enable us to make data-driven decisions and drive innovation across the organization. This is a 2-year contract role with an option for extension.
Job Responsibilities
- Design and build scalable data platforms (including machine learning platforms) to support AI/GenAI use cases streamline data storage democratization model deployment and support feature engineering modeltraining deployment model monitoring and inference.
- Develop and integrate data pipelines for continuous development integration testing and scalable machine learning services.
- Migrate existing data science projects to the new cloud machine learning platform.
- Collaborate with data scientists and data engineers to design implement and integrate data pipelines.
- Improve/automate existing model training feature engineering and evaluation pipelines enabling the feedback loop of taking in labelled data from users/source systems for model re-training/tuning.
- Design and develop CI/CD pipeline consistent logging tracking and monitoring of pipelines and model performance to ensure consistent model performance and alert mechanisms for model drift.
- Support data extraction and transformation for projects and users needs.
- Review support improve and run the platform including the existing data platform/machine learning server and environment management.
- Provide support for data-related queries extraction and discrepancies.
- Stay abreast of and analyze industry developments to identify areas of continuous improvement.
Job Requirements
- Bachelors or Masters degree in Computer Science Artificial Intelligence Machine Learning or a related field.
- 2-4 years of experience in setting up a machine learning platform developing and deploying machine learning models and AI solutions.
- Familiarity with machine learning platforms LLM Lang Chain.
- Proficiency in Python SQL and modern AI/ML algorithms with experience in deploying solutions into production. Experience with GCP/Vertex AI is a plus.
- Highly driven proactive and a strong team player. Excellent interpersonal written and verbal communication skills in English. Ability to multitask effectively and handle large amounts of data.
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