Machine Learning Platform Developer
3 days ago
Empowering Machine Learning Engineers
At GrabTaxi Holdings Pte. Ltd., we believe that machine learning engineers should be empowered to test-and-learn their ideas and productionise them at scale.
We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity, or sexual orientation.
Your Key Responsibilities:
- Contribute to the design, implementation, and rollout of cutting-edge ML&AI platforms for large-scale workloads at Grab.
- Develop tools, systems, and automation to increase productivity throughout the ML and AI development lifecycle.
- Work closely with cross-functional teams to setup and define standards for complex pipelines.
- Automate cloud infrastructure provisioning and deployments of ML pipelines.
- Mentor and lead junior engineers in machine learning.
What We Are Looking For:
- Bachelor's/Master's degree in computer science, machine learning, or related fields.
- 3+ years of machine learning experience in industry.
- Proficient in at least one programming language such as Golang, Python, Scala, or Java.
- Strong understanding of machine learning approaches and algorithms.
- Extensive knowledge of ML frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks.
- Experiences of Docker, Kubernetes, Ray, NoSQL solutions, Memcache/Redis, cloud platforms (specifically, AWS).
- Familiarity with machine learning lifecycle management, including feature engineering, model training, validation, deployment, A/B testing, monitoring, and retraining.
- Experienced in MLOps and managing production machine learning lifecycle is a plus.
- Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning is a plus.
- Prior working experience with building GenAI or llmops platforms is a plus.
- Strong collaboration, mentorship, and communication skills.
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