Senior Machine Learning Engineer
Job Summary
Job Description
- 4 years of hands-on experience in Machine Learning and MLOps.
- Deploying and maintaining real-time ML models in high-traffic applications.
- Strong understanding of system design, distributed systems, and cloud ML infra.
- Proficiency in Python, TensorFlow/PyTorch, and ML frameworks.
- Experience with experimentation design, A/B testing, and statistical evaluation.
- Knowledge of feature stores, model monitoring, and automated retraining.
- Familiarity with ML lifecycle management tools.
- Strong problem-solving skills in a fast-paced environment.
- Experience with Generative AI models, including LLMs.
- Exposure to reinforcement learning or bandit algorithms.
12 skills required
Job Details
What You Will Do
- Design, develop, and deploy machine learning models to solve complex business problems and predict user behaviour.
- Optimise and scale real-time ML models for production environments, ensuring high availability and low latency.
- Architect and implement scalable and efficient ML pipelines and infrastructure.
- Collaborate with data scientists, engineers, and product teams to integrate ML models into production systems.
- Design and execute experimentation frameworks (A/B testing, multi-armed bandits, etc.) to evaluate model performance and improve decision-making.
- Continuously monitor and improve model performance in production, addressing concept drift, latency, and reliability challenges.
- Research and implement best practices in MLOps, automation, and deployment.
- Develop and deploy Generative AI applications, integrating LLMs and other GenAI models into production workflows.
What You Will Need
- 4 years of hands-on experience in Machine Learning and MLOps.
- Proven experience in deploying and maintaining real-time machine learning models in high-traffic consumer applications.
- Strong understanding of system design, distributed systems, and cloud-based ML infrastructure.
- Proficiency in Python, TensorFlow/PyTorch, and ML frameworks.
- Experience with experimentation design, A/B testing, and statistical evaluation of ML models.
- Knowledge of feature stores, model monitoring, and automated retraining workflows.
- Familiarity with ML lifecycle management tools (MLflow, Kubeflow, TFX, etc.).
- Strong problem-solving skills and ability to work in a fast-paced environment.
Bonus
- Experience with Generative AI models, including fine-tuning LLMs and integrating them into products.
- Exposure to reinforcement learning, bandit algorithms, or other advanced ML methodologies.
Our Data Science team currently consists of 40+ people based in India, Indonesia and Singapore who run Southeast Asia’s leading Gojek business. We oversee all things data and work to become a thought partner for our Business Users, Product Team, and Decision Makers. It’s our job to ensure that they have a structural approach to data-driven problem-solving. Right now, our focus revolves: how to make customers, drivers, and merchants happy and delighted. We have so far created millions of dollar impact across different journeys of customers, drivers and merchants
We work with the Engineering, PMs and strategy functions hand-in-glove - be it constructing a new product or brainstorming on a problem like how do we reduce the wait time for the drive, how do we improve assortment, should we treat convenience seeking customer differently from value seeking customer etc
As a team, we’re concerned not only with the growth of the company, but each other’s personal and professional growths, too. Along with us coming from diverse backgrounds, we often have fun sessions to talk about everything and anything from data information to our current movie list.
About GoTo Group
GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek
Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo Financial
GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
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About The Company
GoTo is the largest technology group in Indonesia, combining on-demand and financial services through the Gojek and GoTo Financial brands. It is the first platform in Southeast Asia to host these two essential use cases in one ecosystem, capturing a majority of Indonesian consumer household expenditure.
GoTo’s mission is to “Empower Progress” by offering an unparalleled selection of goods and services through a comprehensive merchant and partner network and promoting financial inclusion through its leading payments and financial services business.
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