About the RoleDon your helmet and climb aboard if you’re ready to be our Machine Learning Engineer. In this role, you will get to design and build Gojek's machine learning infrastructure and platform. Your efforts will be critical in ensuring rapid and reliable Machine Learning products and functionality for our consumer app and behind-the-scenes efficiency. In our humble opinion, the coolest part of this role is that your work will directly influence the production quality systems at all stages of the Machine Learning lifecycle for Gojek.
What You Will Do
- He will be a super user of machine learning platform
- Actively contribute to designing, building, evaluating, shipping, and refining machine learning platform by hands-on ML development
- Automate applications and infrastructure deployments
- Establish guidelines/playbooks to make MLP onboarding more user friendly
- Day-to-day monitoring of the Production service delivery environment to ensure all services and applications are operating optimally and SLAs are met
- Collaborate with Data Scientists to optimize ML models for high-throughput, low-latency use cases
- Understand the product engineering and existing model deployment tools to develop deployment architectures
- Should be able to independently and collaborate with product and platform
What You Will Need
- Should have Hands-on ML model deployment experience 3+ Years
- Worked with Kubernetes or Docker
- Familiarity with standard concepts and technologies used in CI/CD build, deployment pipelines
- Experience with logging tools such as Splunk, ElasticSearch, Kibana, Logstash
- Experience with monitoring tools such as Munin, Prometheus, Grafana, AlertManager, PagerDuty,
- Big data technical stack experience is a plus such as HDFS, Spark, Ambari, ZooKeeper, Kafka
- Have a basic understanding of ML algorithems. Have at least worked on 1 ML project. Looking for applied understanding.
- Experience in MLFlow, Qubeflow, MLTracking, MLExperiments
- Experience in big data technologies preferred: Hadoop, Hive, Spark, Kafka
- Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.
About the TeamGoFood is the food vertical of Gojek, which enables user order food from restaurants the Gojek App.
GoFood Product Description: The mission of GoFood as a product is to provide it’s customers with the best possible selection of food at the most affordable price. GoFood is also a market place for restaurants to list their food items and increase their sales. GoFood also has its own fleet of drivers with an app where they can accept food orders and earn their daily income out food delivery. So overall it’s an ecosystem consisting of consumers, merchants and drivers which GoFood manages with the ultimate aim of providing best user experience to consumers and growth for merchants and drivers.
What we have?We currently have a team of 40+ engineers across 3 different locations Bangalore, Gurgaon and Jakarta. GoFood being one of the largest online food delivery applications, the scale at which this team operates is phenomenal. GoFood has more than 300k merchants and more than 20 millions dishes listed on its platform.
About GojekGojek is a Super App. It is one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and a dozen other products. We are Indonesia’s first decacorn. We are also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business, and MSMEs.As of 2018, Gojek processed more than $9 billion in annualized gross transaction value across all markets where it operates - in Singapore, Vietnam, and Indonesia. We have the largest food delivery product in Asia (outside of China) and is the largest payments wallet in Southeast Asia.Gojek contributed IDR 249 T to the Indonesian economy (equivalent to 2% of Indonesia's GDP in 2020). As of Q1 2021, the Gojek App witnessed over 190mn downloads by customers. The platform has over 2mn Driver Partners & ~900000 Merchant Partners across SEA.
About GoTo FinancialGoTo Financial brings secure, reliable, and user-friendly financial solutions to over 55 million monthly active users, more than 14 million merchants, and over 2.5 million driver-partners eager to benefit from the digital economy in the GoTo ecosystem.GoTo Financial’s consumer services include GoPay, GoPayLater, and other financial services. We also serve businesses of all sizes through leading payment gateway Midtrans, Indonesia’s largest cloud POS network Moka and GoKasir. We also have the all-in-one merchant solution GoBiz, GoBiz Plus, GoStore, and Selly - available in Indonesia and Southeast Asia.Gojek and GoTo Financial are committed to building a diverse and inclusive workplace and are equal opportunity employers. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.
