About the Role
The APAC Analytics & Insights (A&I) team provides advanced analytics support to the APAC countries by leveraging cutting edge data science and machine learning techniques. Typically we solve a business problem in one country and scale it to the other countries. Our projects have an average scaled impact of $50 million. This role is specifically envisioned to help scale, productionalize and industrialize our projects using the latest standard MLOps principles
---- Basic Qualifications ----
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 3+ years of hands-on experience in MLOps and Machine Learning Engineering.
- 4+ years of hands-on experience in data science, analytics or related fields
- Strong proficiency in programming languages such as Python, with experience in libraries like TensorFlow, PyTorch, and scikit-learn.
- Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring.
- Solid understanding of cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Experience in developing and deploying RESTful APIs and microservices for model serving.
- Proficiency in data wrangling, feature engineering, and exploratory data analysis.
- Familiarity with databases and query languages for data extraction and transformation.
- Experience with version control systems like Git and collaborative coding environments.
- Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
- Strong communication skills, both written and verbal, with the ability to explain technical concepts to non-technical stakeholders.
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---- What the Candidate Will Do ----
- Advanced degree (Master's or PhD) in a relevant field.
- Familiarity with Big Data technologies such as Hadoop and Spark.
- Contributions to open-source MLOps or Machine Learning Engineering projects.
- Published research papers or filed patents in the field of machine learning.
- Experience with data visualization and reporting tools.
- Understanding of software development methodologies and Agile practices.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.