2 месяца назад
Applied Machine Learning Engineer (AI)
150 000 - 191 000SGD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Machine Learning Engineer (AI): Developing, fine-tuning, and operationalizing machine learning models and AI-powered applications for enterprise customers with an accent on customer-facing deployments, model enablement, and platform integration. Focus on building proof-of-concepts, optimizing low-latency inference and scalable model serving, and integrating new models into production environments.
Location: Singapore
Salary: SGD 150K–SGD 191K, plus equity
Company
provides an AI platform for building, training, and serving specialized models across text, image, embedding, audio, and multimodal workloads.
What you will do
- Collaborate with Account Executives and Solutions Architects to integrate and deploy machine learning solutions for customers.
- Build and present demonstrations and proof-of-concepts showcasing AI capabilities.
- Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
- Contribute features and bug fixes to the internal machine learning platform.
- Enable new machine learning models in the platform and customer environments.
- Optimize the performance, efficiency, and scalability of deployed models and applications while supporting partner solutions.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of software engineering experience, preferably in customer-facing roles.
- Strong coding skills, preferably with Python.
- Ability to lead and execute complex technical projects with a focus on customer success.
- Strong interpersonal and communication skills in dynamic, cross-functional teams.
- Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Nice to have
- Master’s degree in Computer Science, Engineering, or a related technical field.
- Experience working in a startup or fast-paced environment.
- Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback or reinforcement fine-tuning (RLHF/RFT).
Culture & Benefits
- Work on advanced AI infrastructure, including low-latency inference and scalable model serving.
- Build technology used by businesses and developers to harness AI.
- High ownership and direct impact in a fast-growing environment with minimal bureaucracy.
- Collaborate with experienced engineers and AI researchers.
- Equity compensation is offered.
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