Senior Machine Learning Engineer

7 days ago


Singapore Randstad Singapore Full time

Senior Machine Learning Engineer (MLFlow + DevOps)Randstad Singapore Responsibilities Create and maintain code, documentation, testing and deployment frameworks, tools and infrastructure, collaborating with engineers and domain experts on AI/ML models and pipelines. Design and implement machine‐learning model training pipelines, manage data ingestion and production deployment. Develop environments for building, testing, tracking and deploying AI models and data across pipelines used in genomic analysis. Serve as a technical expert to develop AI models within a consistent ML environment, automating training and data/model management. Requirements Bachelor's degree in Computer Science or equivalent experience. Minimum 3 years of experience in machine learning and operations, ideally in a hands‐on MLOps role. Experience deploying APIs and packages. Experience with ML‐ops platforms (MLFlow, W&B, Kubernetes, Docker, dask, rapids.ai, Ray). Experience with ML frameworks (TensorFlow, Keras, PyTorch, XGBoost, scikit‐learn). Strong Python coding skills with unit testing, code reviews and version control. Open to DevOps Engineers with ML experience, bioinformatics engineers with AI/ML ops experience or ML engineers with DevOps experience. Desired Skills and Experience Machine Learning, ML, Python, DevOps, MLOps, Docker, Kubernetes. Location & Work Arrangement Hybrid working arrangement: 2 days work‐from‐home, office in Woodlands. Working hours 8 am–5 pm; may require early‐morning US calls. Contact Apply online or contact Stella at . #J-18808-Ljbffr



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