The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A global technology leader renowned for its innovative products, including smartphones, personal computers, tablets, wearables, and services. Committed to bringing the best user experience to its customers through its groundbreaking hardware, software, and internet offerings.
In this role, you will focus on the following key areas:
Model Management: Oversee the deployment, maintenance, and scaling of LLM, and services within consumer-facing products.
CI/CD: Build and maintain CI/CD pipelines to automate model train/test/deployment and scaling.
Collaborative Integration: Partner with product developers, UX designers, and data scientists to ensure a seamless and intuitive integration of language models into products.
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 products are inclusive and fair.
Infrastructure Management: Design and implement efficient data pipelines to support large language model training and inference.
Documentation: 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 consumer products remain at the forefront of innovation.
Minimum Qualifications
M.S. in a related field with 3+ years of experience applying AIOps machine learning engineering 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 pipelines, 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 tools 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.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
No Liability: SpringCube is not liable for inaccuracies.
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