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Apple Sales - Machine Learning Engineer AIOps Singapore 724694452
25.03.2025
Description
In this role, you will focus on the following key areas:Model Management: Oversee the deployment, maintenance, and scaling of LLM, and services within our consumer-facing products.CI/CD: Build and maintain CI/CD pipelines to automate model train/test/deployment and scaling.Continuous Monitoring: Build Dashboard and Regularly track model performance, ensuring consistent accuracy and reliability for consumers. Set up alerts and manage the type of monitoring needed.Feedback Integration: Develop strategies for collecting user feedback and refining the model for better alignment with consumer needs.Bias Mitigation: Proactively address and reduce potential biases in model predictions, ensuring our products are inclusive and fair.Infrastructure Management: Design and implement efficient data pipelines to support large language model training and inferenceDocumentation: Maintain comprehensive documentation covering model versions, deployment protocols, and performance metrics.Research & Development: Stay updated with the latest trends in large language models and MLOps, ensuring our consumer products remain at the forefront of innovation.
Minimum Qualifications
- M.S. in related field with 3+ years experience applying AIOps machine learning engineer to real business problems.
- Language Model Expertise: Demonstrated experience working with large language models, such as OpenAI's GPT series or similar.
- MLOps Skills: Solid background in Automating ML pipeline, including the training, testing, deployment, monitoring, and scaling of AI models.
- Technical Toolkit: Proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
- Product-Centric Mindset: Proven track record of integrating AI models into consumer products, enhancing functionality, and user experience.
Preferred Qualifications
- Communication Prowess: Excellent communication skills, with the ability to liaise between technical and non-technical teams.
- Collaborative Spirit: Experience in cross-functional teams, ensuring seamless product development.
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