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2 days ago
You will work closely with product and engineering teams to prototype, fine-tune, and productionize AI models that power intelligent automation and real-world advisory systems.
You'll translate cutting-edge research into usable solutions and own the model lifecycle from concept to deployment. About us We are a rapidly growing AI cybersecurity firm delivering advanced security solutions to enterprises across the Middle East, Europe, and the United States.
Our mission is to empower organizations to build and operate secure applications through strategy-driven, risk-based, and modern security practices.
We're looking for a seasoned Applied AI Engineer. Responsibilities Design, build, and optimize machine learning models for multi-turn dialogue, entity extraction, reasoning, and decision-making.
Fine-tune LLMs (e.g., GPT, Mistral, LLa MA) for domain-specific use cases using open-source frameworks.
Evaluate model performance using qualitative and quantitative methods (BLEU, ROUGE, Precision/Recall, etc.)Contribute to rapid experimentation pipelines and scalable AI deployments.
Work with platform engineers to package models for secure, efficient inference (on-premise/cloud).
Keep up with the latest developments in agentic AI, NLP, and LLM alignment. Requirements1–2 years of experience in applied ML or AI research roles.3+ years of experience in software engineering or Data Scientist.
Hands-on experience with Python, Py Torch, Hugging Face, or Lang Chain.
Experience fine-tuning or customizing LLMs, especially for reasoning, dialogue, or retrieval-augmented generation.
Strong understanding of NLP and generative model architectures.
Bachelor's or Master's in Computer Science, AI, or a related field.
Pre: Familiarity with agent frameworks or function-calling architectures. Working Hours Remote-first with some overlap required for team meetings in Europe time zones. Compensation and advantages Base salary of 30-40k dollars plus bonus compensation above market compensation.
Minimum 1 x trip to Europe for team building, all expenses covered.
Office in Bangalore to work.
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