Data Science

3 weeks ago


Delhi, 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 more than 50% of the organization's 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 440+ patents and a large repository of 330+ 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 and dedicated team of engineers, for whom no problem is unsolvable.

Experience: 10 + years

Job Location: Bangalore

Qualification: B.Tech/BE (CSE/ECE) or any other equivalent degree.

Designation: Staff Engineer - Data Science

Key skills: Time series, ML, Deep learning, NLP, Chatbot, Python, Telecom,5G

Preferable: Immediate joiner/ 15 days of notice/ Serving Notice Period/1 month of Notice period

Roles & Responsibilities:

- Deep knowledge and hands-on experience in various Data preparation techniques for Machine learning/Deep learning/NLP- Deep knowledge and hands-on experience in Machine Learning(Decision Trees, SVM, XBOOST, Random Forest)/Deep learning(MLP,LSTM,RNN)/NLP/Reinforcement Learning/time-series(LSTM,ARIMA,SARIMA) methodologies and modelling techniques- Hands-on experience in chatbot design and development using open-source frameworks like RASA, Huggingface- Hands-on experience in Large Language Model Training, fine-tuning, and evaluation for Opensource and Closed Source models like Llama, GPT etc- 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, and 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, and evaluation for Opensource and Closed Source models like Llama, GPT, etc
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