Cloud Native Engineering Lead
3 days ago
Cloud Native Engineering Lead
We are seeking a highly skilled Cloud Native Engineering Lead to join our team at GrabTaxi Holdings Pte. Ltd.
As a leader, you will be responsible for overseeing the design, implementation, and rollout of cutting-edge ML&AI platforms for large-scale workloads at Grab.
You will work closely with cross-functional teams to setup and define standards for complex pipelines and automate cloud infrastructure provisioning and deployments of ML pipelines.
Requirements:
- Bachelor's/Master's degree in computer science, machine learning, or related fields.
- 5+ 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 leadership, mentorship, and communication skills.
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