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Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead the design and implementation of Netcool solutions, integrating multi-vendor environments, managing complex troubleshooting, and mentoring junior engineers in DevOps practices.
Top Skills:
AnsibleDb2DockerIbm Netcool SuiteJavaJenkinsKubernetesLinuxMySQLOraclePerlPostgresPythonShellUnix
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
The BMC Helix ITSM Solution Architect manages and optimizes BMC ITSM modules, delivers custom workflows, ensures compliance, and mentors junior team members.
Top Skills:
Bmc Helix ItsmBmc RemedyBmc Smart ReportingDeveloper StudioDigital WorkplaceDockerGitHelix Innovation SuiteJavaScriptJenkinsKubernetesOraclePostgresPythonRestShellSmart ItSoap
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Manage and support Ericsson ENM/ENIQ network management systems, troubleshoot, and maintain network infrastructure while collaborating with cross-functional teams.
Top Skills:
BindCentosEricsson EniqEricsson EnmIdamLdapLinuxPkiPostgresPythonRbacRhelSap BoShellSybase IqTableauTbacUnixVerticaVMwareVsphereWindows Server
Join our Team
About the opportunity :
Raises the intelligence ceiling of the platform. Responsible for making agents measurably smarter over time through rigorous evaluation, advanced retrieval architecture, and a self-improving feedback loop.
What you will do :
▸ Own the end-to-end design, development, and continuous improvement of the Deep Research Agent
▸ Design and maintain the RAG pipeline: chunking strategy, embedding models, retrieval, and re-ranking
▸ Implement and optimise context compression to reduce overhead on long-horizon, multi-hop queries
▸ Build and operate the model evaluation harness: benchmark design, regression tracking, and A/B testing
▸ Lead the agent self-improvement loop: prompt proposal pipeline and benchmark-gated merge governance
▸ Track frontier model research and assess production applicability for the platform intelligence roadmap
▸ Advise on fine-tuning, prompt optimisation, and model selection strategy across model generations
The Skills you bring:
• Deep expertise in LLMs: transformer architecture, fine-tuning (LoRA/QLoRA), RLHF, and alignment techniques• RAG system design: vector databases (Pinecone, Weaviate, pgvector), embedding models, hybrid search strategies• ML experimentation tooling: MLflow, Weights & Biases, Vertex AI Experiments, or equivalent platforms• Python ML stack: PyTorch or JAX, HuggingFace Transformers, LangChain or equivalent orchestration libraries• Statistical evaluation methods: benchmark design, significance testing, and evaluation dataset curation• Context compression and KV cache optimisation techniques, quantisation basics (GPTQ, AWQ)
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Bangalore
Req ID: 784074
About the opportunity :
Raises the intelligence ceiling of the platform. Responsible for making agents measurably smarter over time through rigorous evaluation, advanced retrieval architecture, and a self-improving feedback loop.
What you will do :
▸ Own the end-to-end design, development, and continuous improvement of the Deep Research Agent
▸ Design and maintain the RAG pipeline: chunking strategy, embedding models, retrieval, and re-ranking
▸ Implement and optimise context compression to reduce overhead on long-horizon, multi-hop queries
▸ Build and operate the model evaluation harness: benchmark design, regression tracking, and A/B testing
▸ Lead the agent self-improvement loop: prompt proposal pipeline and benchmark-gated merge governance
▸ Track frontier model research and assess production applicability for the platform intelligence roadmap
▸ Advise on fine-tuning, prompt optimisation, and model selection strategy across model generations
The Skills you bring:
• Deep expertise in LLMs: transformer architecture, fine-tuning (LoRA/QLoRA), RLHF, and alignment techniques• RAG system design: vector databases (Pinecone, Weaviate, pgvector), embedding models, hybrid search strategies• ML experimentation tooling: MLflow, Weights & Biases, Vertex AI Experiments, or equivalent platforms• Python ML stack: PyTorch or JAX, HuggingFace Transformers, LangChain or equivalent orchestration libraries• Statistical evaluation methods: benchmark design, significance testing, and evaluation dataset curation• Context compression and KV cache optimisation techniques, quantisation basics (GPTQ, AWQ)
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Bangalore
Req ID: 784074
Ericsson Gurugram, Haryana, IND Office
Ericsson Gurugram Hub - Ericsson India Global Services (Delhi NCR) Office
Set near the Aravalli hills, this area blends green surroundings with modern office parks. Quieter than central Gurugram but well connected, offering a calmer workday with easy access to city hubs.
Ericsson Gurugram, Haryana, IND Office
Ericsson Gurgaon Head Office - Ericsson India (Delhi NCR) Office



One of India’s biggest corporate hubs with offices, metro access, restaurants and cafés all nearby. Fast-paced, urban and well connected, ideal for professionals who want energy, convenience and strong networking.
Ericsson Noida, Uttar Pradesh, IND Office
Ericsson Noida Hub (Delhi NCR) Office
Modern commercial district with wide roads, metro connectivity and growing residential areas. Close to malls, food hubs and offices, offering a practical balance between work, commute and daily life.
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.




