Model and Intelligence Engineer (India)

Model and Intelligence Engineer (India)

16 Aug
|
Ericsson
|
India

16 Aug

Ericsson

India

About this Chance:

We are looking for a highly skilled Model and Intelligence Engineer to own the end-to-end development and continuous evolution of our advanced Deep Research Agent. The ideal candidate will be an expert in building robust RAG pipelines (from chunking to re-ranking), optimizing context compression for complex, multi-hop queries, and establishing rigorous evaluation harnesses for model benchmarking. Beyond core engineering, this role requires a strategic thinker who can drive agent self-improvement loops, lead prompt and fine-tuning strategies, and translate frontier AI research into production-ready features for our platform's intelligence roadmap.

Core Responsibilities:
- 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 optimize 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 optimization, and model selection strategies across model generations

Core Skills & Experience:
- 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 compre

📌 Model and Intelligence Engineer (India)
🏢 Ericsson
📍 India

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