Senior Technical Specialist
19 hours ago
As a Senior Technical Specialist, you will develop and enhance network management applications for optical transport technologies, ensuring efficient configuration, fault management, and performance monitoring. Utilizing data science, machine learning, and cloud technologies, you will drive innovation, optimize performance, and streamline CI/CD deployments. You will also mentor team members, foster collaboration, and contribute to global network infrastructure advancements in a dynamic, technology-driven environment.
Responsibilities- Network Management of Optics Division products, including Photonic/WDM, Optical Transport, and SDH/SONET.
- Optics Network Management applications provide users with control over the network, including configuration (infrastructure, end-to-end services), fault supervision, and performance monitoring.
- These applications interface with various Network Elements, provide a user-friendly graphical interface, and implement algorithms and functions to facilitate network management and reduce OPEX.
- Optics Network Management applications are deployed worldwide in hundreds of installations, serving both large enterprises and small customers.
- The Software Development Engineer for Optics Network Management will be part of the development team, contributing to new developments and maintaining applications to enhance functionality and customer satisfaction.
You have:
- Bachelor's degree or equivalent, with 7 to 12 years of experience as a Data Scientist.
- Analyze data and apply appropriate models (univariate, multivariate). Expertise in various learning models, including supervised, unsupervised, and different neural network variations.
- Proficient in applying probabilistic and stochastic models to different datasets and performing feature engineering for various models.
- Stay up to date with the capabilities and limitations of different models and distinguish between real-time and batch processing needs.
- Strong domain knowledge or the ability to learn the Optical Transport domain for effective feature engineering.
It would be nice if you also had:
- Proficiency in NumPy, Pandas, PyTorch, SciPy, Keras, TensorFlow, GoLang, and corresponding packages for Java and Python, as well as various Time Series databases.
- Ability to differentiate between Proof-of-Concept mode and deployment for small- and large-scale data using CI/CD pipelines.
- Adaptability to rapidly evolving technology and tools, with a proven ability to learn quickly.
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