Machine Learning Engineer Job in SOURCEO

Machine Learning Engineer

SG, Singapore

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Job Description

Qualifications

Requirements

At least 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 test automation tools (e.g., PyTest, Unittest, GitHub Actions, CodePipeline). Experience with infrastructure-as-code, versioning, and model registries. Solid understanding of MLOps practices, testing strategies, and production ML requirements. Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or related field.

Preferred Qualifications

Familiarity with Generative AI, LLM deployment, or RAG pipelines using AWS Bedrock, LangChain, or open-source LLMs. Experience with vector databases (e.g., FAISS, OpenSearch), feature stores, and model explainability tools. AWS certification (e.g., ML - Specialty, Solutions Architect, or DevOps Engineer) is a plus
Job Types: Full-time, Permanent

Benefits:

Health insurance
Experience:

* ML/MLOps Engineer: 5 years (Required)

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