Lead Machine Learning Engineer, AI Platform
Lead Machine Learning Engineer, AI Platform
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Job Description
Get to Know the Team
Welcome to Dev-AI at Grab! Our team focuses on empowering Grab engineers through AI innovation combining in-house solutions and third-party technologies to elevate application development testing and automation efforts. By improving workflows we aim to advance efficiency and productivity for all engineering teams across Grab.
Get to Know the Role
As part of your role youll be reporting to the Head of Engineering and collaborating with various teams to design AI tools that simplify and enhance the engineering process. You will identify opportunities for optimization within the Software Development Lifecycle drive impactful AI initiatives and ensure alignment with Grabs scalability and overall position will require technical leadership and fostering innovation across Grabs engineering teams. Youll be based onsite at Grab Singapores office located at One-north.
The Critical Tasks You Will Perform
- You will develop and implement approaches targeted at improving datasets including annotations and synthetic data creation alongside fine-tuning methods like adapters and prompt tuning and model optimization strategies such as quantization and pruning.
- You will apply the latest AI research to construct robust scalable and efficient ML systems that are ready for production.
- You will work hand-in-hand with engineering research and product teams to craft customised AI solutions that meet specific business requirements.
- You will design automated workflows to enhance the model training evaluation deployment and monitoring processes ensuring efficiency and scalability.
- You will offer mentorship and technical leadership to team members fostering a culture centred around continuous improvement and innovation.
Qualifications :
What Essential Skills You Will Need
- You have over 6 years of expertise in building and deploying AI/ML platforms with hands-on involvement in providing technical leadership mentoring engineers or managing technical projects.
- You have knowledge of contemporary AI methods such as deep learning transformers generative models and multimodal architectures is essential along with proficiency in ML frameworks like PyTorch TensorFlow or Hugging Face.
- You also have knowledge of fine-tuning methodologies (e.g. PEFT adapters LoRA) dataset preparation techniques (e.g. annotation augmentation synthetic generation) and optimization strategies (e.g. quantization pruning distillation).Knowledge of optimization techniques such as quantization pruning and distillation.
- You can collaborate with product teams to implement AI solutions in live-production environments.
- You have experience translating cutting-edge AI research into workable production-ready systems that align with project goals.
- You are proficient in Python and familiarity with tools like Spark Ray or Dask for large-scale data handling. Knowledge of engineering practices including CI/CD containerization microservices and cloud infrastructure (AWS GCP Azure)
- You have history of success in leading technical initiatives mentoring team members and working with diverse teams (technical and non-technical) to drive AI-focused projects forward.
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
