Machine Learning Engineer (Operations)
Bengaluru
Applications have closed
Gojek
Gojek is Southeast Asia’s leading on-demand platform and a pioneer of the multi-service ecosystem model, providing access to a wide range of services including transportation, food delivery, logistics and more.Don your helmet and climb aboard if you’re ready to be our Machine Learning Intern. 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
- Deploy the next generation of Machine Learning systems (such as inference search & recco models) that personalize user experience on Gojek using existing infrastructure and tools
- Design, build, evaluate, ship, and refine products by hands-on Machine Learning development
- Establish guidelines on infrastructure usage
- Hands-on development on Machine Learning infrastructure and collaborate with Data Scientists to optimize Machine Learning models for high-throughput, low-latency use cases
- Develop and deploy architectures through product engineering and existing model deployment tools
What You Will Need
- At least 3 years of hands-on experience with large-scale systems in data science / software engineering / machine learning engineering
- Strong background in machine learning deployment.
- Hands-on experience implementing or prototyping machine learning systems at scale in Python, Java, Scala, Go or similar languages.
- Proven track-record building large-scale, high-throughput, low-latency production systems
- Experience with relational databases, non-relational databases (BigQuery, Postgres, Redis), cloud environments, and cloud deployment technology (Terraform, Kubernetes, Helm)
- Experience with TensorFlow, PyTorch, and/or Google Cloud Platform is a plus
- Experience with ElasticSearch is a plus
- Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam, Spark, Kafka, MLFlow is a plus
GoFood 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 Us
Gojek is a Super App. It’s one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and dozen other products. It is Indonesia’s first and only decacorn. It's 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 2021, Gojek processed more than $9 billion annualised gross transaction value across all markets where it operates - in Singapore, Thailand, Vietnam and Indonesia. We have the largest food delivery product in Asia, (outside of China), and the largest payments wallet in Southeast Asia.
Our investors include Google, Facebook, PayPal, Sequoia Capital, Tencent Holdings among others.
Gojek is committed to building a diverse and inclusive workplace and is an equal opportunity employer. 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.
Tags: BigQuery Data pipelines Elasticsearch Engineering GCP Google Cloud Helm Kafka Kubernetes Machine Learning MLFlow ML models Model deployment Pipelines PostgreSQL Prototyping Python PyTorch RDBMS Scala Spark TensorFlow Terraform
Perks/benefits: Career development Startup environment
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