▷ [Apply in 3 Minutes] Data Engineer, Senior Engineer - NMS

3 days ago


Bengaluru, India Tejas Networks Full time
About Tejas Networks:

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.

Job Profile:

- Designation - Senior Engineer, R&D- Location: Bangalore- Experience - 3 to 6 Years

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

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