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Job Title


Senior Engineer - Data Science Analytics


Company : Tejas Networks


Location : Bangalore, Karnataka


Created : 2025-04-28


Job Type : Full Time


Job Description

About Us:Tejas Networks is a global broadband, optical and wireless networking company, with a focus on technology, innovation and R&D. We design and manufacture high-performance wireline and wireless networking products for telecommunications service providers, internet service providers, utilities, defence and government entities in over 75 countries. Tejas has an extensive portfolio of leading-edge telecom products for building end-to-end telecom networks based on the latest technologies and global standards with IPR ownership. We are a part of the Tata Group, with Panatone Finvest Ltd. (a subsidiary of Tata Sons Pvt. Ltd.) being the majority shareholder. Tejas has a rich portfolio of patents and has shipped more than 900,000 systems across the globe with an uptime of 99.999%. Our product portfolio encompasses wireless technologies (4G/5G based on 3GPP and O-RAN standards), fiber broadband (GPON/XGS-PON), carrier-grade optical transmission (DWDM/OTN), packet switching and routing (Ethernet, PTN, IP/MPLS) and Direct-to-Mobile and Satellite-IoT communication platforms. Our unified network management suite simplifies network deployments and service implementation across all our products with advanced capabilities for predictive fault detection and resolution. As an R&D-driven company, we recognize that human intelligence is a core asset that drives the organization’s long-term success. Over 60% of our employees are in R&D, we are reshaping telecom networks, one innovation at a time.Why join Tejas:We are on a journey to connect the world with some of the most innovative products and solutions in the wireless and wireline optical networking domains. Would you like to be part of this journey and do something truly meaningful? Challenge yourself by working in Tejas’ fast-paced, autonomous learning environment and see your output and contributions become a part of live products worldwide.At Tejas, you will have the unique opportunity to work with cutting-edge technologies, alongside some of the industry’s brightest minds. From 5G to DWDM/ OTN, Switching and Routing, we work on technologies and solutions that create a connected society. Our solutions power over 500 networks across 75+ countries worldwide, and we’re constantly pushing boundaries to achieve more. If you thrive on taking ownership, have a passion for learning and enjoy challenging the status quo, we want to hear from you!Who we are: Tejas AI/ML Group designs and develops AI/ML based Network optimization solutions for the entire portfolio of Tejas devices working across products like Wireline (OTN, DWDM), Enterprise Switch/Routers and Wireless. It is also involved in some internal optimization solutions for Manufacturing organizations. This team typically focuses on leveraging artificial intelligence and machine learning technologies to optimize network performance, enhance customer experiences, and automate operational tasks and operates at the intersection of AI, telecom networks, and large-scale data processing, driving innovation in communication technologiesThe main functionalities which are covered by Tejas AI/ML group are:Fault predictionNetwork Anomaly detectionNetwork Resource/Path OptimizationSystem resource OptimizationDDOS attack detectionLog/Text Analytics/chatbots using Large Language ModelsCritical Wireless use cases (ex: Slicing, Coverage and Capacity optimization, Energy Saving, Power optimization, Mobility optimization and more)Contribution to Wireless 6G 3gpp specificationsIt is also involved in Developing Data Engineering Infrastructure and pipelines for AI/ML Training and InferenceWhat you work:Data Processing, Analytics, Rapid prototyping:Work on processing large volumes of data, including parsing, aggregating, and analyzing data to extract actionable insights.Implement simple python based reusable utilities for parse, categorize and visualize data.Build interactive dashboards for Data AnalyticsIdentify patterns in data for rapid prototyping of automation tasks - driven by statistics and ML.Implement Feature Engineering, Model selection and evaluation parameters for PoC creations Mandatory skills:To perform Data-Analytics i.e quick reusable point-and-click dashboarding using python-based tools / frameworks such as matplotlib, plotly, panel, streamlit, altair, holoviz, seaborn, etc.Experienced in techniques such as 'linked-brushing', widgetting, filtering (single/multi-select) to create dynamic plots (scatter, kde, pairplots, histograms, violin plots, CI intervals).Good understanding of statistics, data analytics, supervised and unsupervised ML techniques (t-test, p-values, confidence interval determination, ANNOVA, regression, clustering, DTrees, DBSCAN, k-means etc.)Rapid prototyping and proof-of-concept (PoC) creation to validate hypotheses.Candidates with active github repository with experimental projects would be preferredKnowledge and hands-on experience in Machine Learning (Decision Trees, SVM, XBOOST, Random Forest)/time-series (LSTM, ARIMA, SARIMA) methodologies and modelling techniquesFamiliarity with Machine learning pipeline tools like Kubeflow, MLflow, DatabricksDesired skills:Implement Data/Training/Inference pipelines for Data Ingest/Model Training and InferenceFine-tuning, debugging, enhancing explainability of models to obtain consistent performanceAPI Development: Create and maintain APIs communication and integration with other platforms.Collaboration: Work closely with cross-functional teams, including product management, network engineers, and DevOps, to ensure project alignment with business goals.Documentation: Document the development process, architecture, and standard procedures for easy maintenance and knowledge sharing.Continuous Improvement: Stay updated with industry trends, best practices, and emerging technologies within Python and telecom domains.Preferred Qualifications: Experience: 3 to 6 years’ experience from Telecommunication or Networking background.Education: B.Tech/BE (CSE/ECE/EEE/IS) or any other equivalent degreeCandidate should be good with python programming.Diversity and Inclusion Statement:Tejas Networks is an equal opportunity employer. We celebrate diversity and are committed to creating all inclusive environment for all employees.We welcome applicants of all backgrounds regardless of race color, religion, gender, sexual orientation, age or veteran status.Our goal is to build a workforce that reflects the diverse communities we serve and to ensure every employee feels valued and respected.