About Team:
Tejas Networks is an R&D driven organization focused on being at the forefront of technological advancements in the field of telecommunications. With an R&D team comprising of more than 50% of the organization strength, we have continued to invest in the development of new product capabilities. Our products include carrier-grade optical transmission (based on DWDM/PTN/OTN technologies), fiber broadband (based on GPON/NG-PON), broadband wireless (based on LTE 4G/5G) as well as multi-gigabit Ethernet/IP switching and routing products that are fully designed and manufactured in India…a true pioneer of “Make in India” initiative.
Tejas is one of the leading innovators in India’s ICT sector with over 349 patents and a large repository of 280+ semiconductor IPs. Tejas is actively contributing to global 5G standards through its work in India’s telecom standards organization (TSDSI). All this has been done with an energetic & dedicated team of engineers, for whom no problem is unsolvable.
Tejas Network Management System (NMS) is an integrated management application offering single window operation for end-to-end network management. It supports provisioning, operations and management of PTN, DWDM, SDH/SONET. GPON and OTN based services. It is highly scalable & with its intuitive UI; it enables the network operation teams to optimize their operational costs. It helps the operator to understand various aspects of the network and take important decisions critical to the performance and efficiency of the network.
Job Description:
Positions : Senior/ Lead/ Staff Engineer
Work Location : Bangalore
Experience : 4 to 14 years
Education : BE /M.tech(CSE, ECE, IT) or any other equivalent degree.
Responsibilities:
- Interfacing with PLM to understand problem statement and business requirements
- Interfacing with Optical and wireless domain experts for formulating the problem and solution design
- Interfacing with the Network Management (NMS) team to understanding the Data Ingest mechanism and UI representation
- Working with the Field Support team and the Network Element engineers to understand the network performance data.
- Designing and implementing the Data collection, Feature Engineering, Model selection and evaluation parameters
- Designing and implementing the customer troubleshooting, debugging interface by Interactive Chatbots
- Designing and implementing Network/Resource Fault remediation/optimization using AI methodologies
- Designing and implementing Data/Training/Inference pipelines for Data Ingest/Model Training and Inference
- Designing and implementing Model Cycle management, Drift Management and Re-training strategy
- Collecting, cleaning, and organizing network performance data from various sources, including network/element management systems, network elements, and logs.
- Identifying and extracting patterns in network performance data for efficient use in fault prediction, Anomaly Detection and Forecasting/Trending
- Contribute to building predictive models and using machine learning/Deep learning techniques to proactively identify network issues.
- Fine-tuning, debugging, enhancing explainability of models to obtain consistent performance
Skills Required:
- Deep knowledge and hands-on experience in various Data preparation techniques for Machine Leaning/Deep learning/NLP
- Deep knowledge and hands-on experience in Machine Learning(Decision Trees, SVM, XBOOST, Random Forest)/Deep learning(MLP,LSTM,RNN)/ Reinforcement Learning/time-series(LSTM,ARIMA,SARIMA) methodologies and modelling techniques
- Hands-on experience in Data Engineering Tools like Kafka, Storm/Flink, Spark
- Programming skills in Python with hands-on experiences in libraries, specifically NumPy, Pandas, Matpoltlib, Tensorflow, Keras, Pytorch, Reinforcement Learning libraries
- Hands-on Experience with SQL and NoSQL Databases like SQL, Elastic, Cassandra, distributed systems and shell scripting using awk etc.
- Familiarity with Machine learning pipeline tools like Kubeflow, MLflow, Databricks, SeldonCore
- Familiarity with a public cloud platform like AWS, Azure
- Excellent problem-solving and communication skills
- Knowledge of NMS platforms is desirable
- Knowledge of Optical/Enterprise Switches/Wireless(5G) domains wrt Fault Management/Anomaly identification/ optimization in various domains
- Hands-on experience in chatbot design and development using NLP open-source frameworks like RASA, Huggingface
- Hands-on experience in Large Language Model Training, fine-tuning, evaluation for Opensource and Closed Source models like Llama, GPT etc
