As a leading delivery platform in the region, we aim to positively impact millions of customers, restaurant partners, and riders. To achieve our mission, we are looking for an ML Platform Engineer to help scale and evolve our machine learning capabilities, including cutting-edge Generative AI (genAI) initiatives. This role requires designing, building, and enhancing infrastructure and tooling that will accelerate the development, deployment, and monitoring of traditional ML and genAI models at scale.
Responsibilities:
- Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling, supporting the entire ML lifecycle.
- Develop standardized ML workflows using MLflow and other platforms to enable rapid experimentation and deployment cycles.
- Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking.
- Collaborate with genAI experts to integrate and optimize genAI technologies including transformers and real-time retrieval-augmented generation (RAG) systems.
- Automate and streamline ML model workflows ensuring consistency and reliability.
- Ensure reliability, observability, and scalability of production ML workloads through comprehensive monitoring and performance evaluation.
- Integrate infrastructure components such as model serving frameworks and cloud solutions for robust production environments.
- Partner with various teams to align ML platform initiatives with broader company goals.
- Contribute to internal documentation, onboarding, and training programs.
Requirements:
- Strong software engineering background with experience in building distributed systems for machine learning and AI workloads.
- Proficiency in Python and familiarity with ML frameworks such as TensorFlow and PyTorch.
- Experience with modern MLOps practices including CI/CD, Docker, Kubernetes, and infrastructure-as-code tools.
- Familiarity with cloud infrastructure, ideally AWS or GCP, and experience with managed ML services.
- Experience with generative AI technologies including transformers and vector databases.
- Understanding of ML monitoring and ability to manage complex data queries.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree is a plus.
- 3+ years of experience in ML platform engineering or closely related roles.
- Proven track record of building and operating ML infrastructure at scale.
- Strong problem-solving skills and effective technical decision-making abilities.
- Excellent communication and collaboration skills.
This position is a critical opportunity for those passionate about machine learning and eager to contribute to a high-performance culture focused on innovation and positive impact.
