Overview
We are looking for a Senior Machine Learning Data Engineer for our global business partner operating in the software industry.
Responsibilities
- Develop “best-in-class” architecture, design and production artifacts by ensuring that the services and the components are : well-defined and modularized, secure, scalable, reliable, reusable, diagnosable, and actively monitored.
- Contribute to all phases of new developments including architecting, prototyping, productizing, testing and support.
- Adhere to and drive modern software engineering practices through code and design reviews, exercise DevOps principles to deploy, maintain and monitor production workflows and services to provide continuous delivery with high quality and actionable telemetry data.
- Stay educated on existing and state of the art technologies, and do proof of concept studies to evaluate technology fits relevant to our product requirements.
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Mentor junior developers with coaching and participating in code / design reviews.
Technical Qualifications
4+ years of work experience including SaaS systemsBachelor’s degree in a related field from a reputable universityStrong coding skills in Python with hands-on experience on data and analytics libraries like NumPy, Pandas, sklearnKnowledgeable of modern big data and machine learning concepts and / or solutions.Experience working with scalable and distributed platforms for processing large and complex data sets using Hadoop, Spark (PySpark) or similar, with the ability to pick up new languages and technologies quicklySkills in manually and programmatically interacting with data stored in traditional (relational) databases as well as NoSQL databases and / or columnar data formats.Ability and motivation to self-teach while entering new domains and managing through ambiguityCompany notice
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