BT Machine Learning Engineer in Australia
Provide innovative and cutting-edge ideas including architectural design input into further developing the capabilities of BT’s principal advanced security platforms and offerings.
Design, build, validate, deliver, integrate and present the advanced analytical capabilities using statistical, ML and DL on large volumes of data for internal and external customers.
Contribute to conceptual, algorithmic and architectural design, documentation, experiment, prototype, development, testing and deployment of ML/DL solutions on big data platform.
Translate and interpret customer requirements to analytics opportunity to build analytics product and, articulate and present back the proposed solutions to client in simplified format.
Participate in consultation activities for British Telecom customers around the world by running knowledge transfer sessions, requirement engineering workshops, POC and RFI as required.
Participate in sales and pre-sales activities globally including sales meetings, POC, HLD, LLD and RFI to support account managers in the field of security analytics.
Participate in security analytics projects including requirement engineering, solution design, Data analysis, POC and prototype for BT customers around the world.
Research and Development
Maintain knowledge of current trends and latest applications in the fields of Advanced Data Analytics, ML, DL, Artificial Intelligence, Big Data Analytics, Cyber Security and Intelligence platforms.
Design and practice Innovation methodologies such as design thinking to explore new opportunities and build innovative and differentiative analytic capabilities.
Partner and engage with research arms like BT R&D, universities and research organizations and communities around the world to understand new trends in Data, Analytics and AI through attending and presenting in summits, conferences and workshops.
Extensive knowledge and industry experience (3 years) of Machine Learning techniques and the ability to implement them in Big Data Platforms.
Extensive knowledge and industry experience (3 years) with ML development using: Scala, Python and R and libraries like Scikit-learn, SparkML, Caret and MLR.
Adequate knowledge and industry experience (1 years) with DL development using TensorFlow, Keras, MXNet, Theano, CNTK and Caffe 2 and potentially GPUs.
Adequate knowledge and industry experience (1 years) with working on Big Data platforms such as Hadoop, HDFS, Kafka, Spark and Spark Streaming, AWS and Google Cloud stacks.
Experience of working in a complex technical development and integration environment to build software that will be deployed into production environments with high-quality documentation.
Experience of Linux system administration and Linux system troubleshooting desirable.
Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
Knowledge of Security and Cyber telemetry, log feeds and intelligence platforms is preferred.
Track record of scientific and business publications and presentation is preferred.
Works under broad direction.
Full accountability for own technical work and project responsibilities.
Receives assignments in the form of objectives.
Work is often self-initiated.
A PhD, Master or Bachelor degree in a highly quantitative field (Software Engineer, Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent industry experience.
Job: IT, Systems and Security
Title: Machine Learning Engineer
Requisition ID: 98970