Senior AI Engineer

1 week ago

Singapore beBeeAioops Full time $150,000 - $200,000
Job Description

We are seeking a skilled AIOps Machine Learning Engineer to join our team. As a key member, you will be responsible for developing and implementing cutting-edge technologies that enhance the functionality and user experience of our consumer products.

In this role, you will work on exciting technologies for future Apple products and bring them to life. You will collaborate with multi-functional teams of business SMEs, engineers, data scientists, designers, and researchers to discover and build solutions to previously-unsolved challenges.

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.
  • Collaborative Integration: Partner with product developers, UX designers, and data scientists to ensure a seamless and intuitive integration of language models into our 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 our 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 our consumer products remain at the forefront of innovation.
Required Skills and Qualifications
  • M.S. in related field: 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.
Benefits

We offer a collaborative environment where you can grow and develop your skills. Our team is passionate about delivering high-quality products and providing exceptional customer experiences.

Others

We believe in continuous learning and professional development. We encourage our team members to attend conferences, workshops, and online courses to stay updated with the latest trends and technologies.

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