The Job logo

What

Where

Technical Authority Expert

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
We are hiring for the role of Technical Authority Expert at our company. You will be responsible for ensuring network performance and making recommendations to improve overall performance. This is a full-time opportunity at our location in Noida, Uttar Pradesh, India.

Job description 

What you will do

  • Ensure network performance KPI & post deviation analysis for PS Core & IMS core network
  • Work well within predefined system support guidelines and ground rules.
  • Participate in internal technical discussions in view to improve overall network performance and make recommendations wherever possible.
  • Ensure correct working methodology, Best Practices and Continuous improvements in Ways of Working for efficiency improvements and betterment in deliveries.

You will bring

  • RF knowledge for 2G/3G/LTE/NR
  • LTE hand’s on Radio parameter and features on Ericsson/ZTE system is required.
  • VoLTE troubleshooting
  • Understanding of Radio KPI for each technology
  • Understanding of RAN, PS & IMS call flows
  • Performance Monitoring tools like BI, Mycom, Kailx etc is needed
  • Trace analysis to handle Vip complaints
  • Drive test analysis exposure.
  • Education: Academic degree, minimum on bachelor level, in Engineering (IT, Telecom)
  • Experience: 8- 12 years
Set alert for similar jobsTechnical Authority Expert role in Noida, India
Ericsson Logo

Company

Ericsson

Job Posted

8 months ago

Job Type

Full-time

WorkMode

On-site

Experience Level

8-12 Years

Category

Technology

Locations

Noida, Uttar Pradesh, India

Qualification

Bachelor or Master

Applicants

Be an early applicant

Related Jobs

Ericsson Logo

Technical Authority Expert

Ericsson

Noida, Uttar Pradesh, India

Posted: 3 months ago

The Technical Authority Expert position at Ericsson in Noida, Uttar Pradesh, India involves system administration of OSS, Ping Fed, and expertise in ESRI Geo-Database Management, ArcGIS, JavaScript APIs, .Net Web Services, C#, IIS Administration, HP OBM, Red Hat OpenStack, SQL/POSTGRESS/Cassandra DB, Linux OS, KVM. The role requires experience in Splunk, Dynatrace, DevOps principles, automations, AI-ML, RPA, RBA methodologies, and LCM support for automation solutions. It is a full-time on-site opportunity with 5 to 9 years of experience.

Birlasoft Logo

Sr Technical Lead

Birlasoft

Noida, Uttar Pradesh, India

Posted: 9 months ago

Description:  Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies. Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks. Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures. Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment. Very good understanding of Prompt engineering techniques in developing Instruction based LLMs. Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization. Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs. Passionate to learn and stay updated with the latest advancements in generative AI and LLM. Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models. Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed. Exposure to developing Guardrails for LLMs both with open source and cloud native models. Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team.