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.

---- 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.