Data Science Specialist

5 days ago


Petaling Jaya, Selangor, Malaysia GrabTaxi Holdings Pte. Ltd. Full time

GrabTaxi Holdings Pte. Ltd. is a leading technology company in Southeast Asia that empowers economic growth and innovation.

Our mission is to create economic empowerment for the people of Southeast Asia through technology and innovation.

The ML Pipeline team at Grab focuses on developing tools and systems to increase productivity throughout the machine learning and AI development lifecycle.

Job Summary:

We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member, you will be responsible for designing, implementing and rolling out cutting-edge ML&AI platforms for large-scale workloads at Grab.

Main Responsibilities:

  • Design and develop production-grade code and perform code reviews to ensure exceptional code quality.

  • Build robust, lasting and scalable products that iterate quickly without compromising quality.

  • Setup and define standards for complex pipelines including data engineering, feature engineering, model training, model quality verification, model deployment, etc.

  • Automate cloud infrastructure provisioning and deployments of ML pipelines.

Required Skills:

  • A bachelors/Master 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.

Company Culture:

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 and other attributes that make each Grabber unique.



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