Experience: 2-5 Years
Employment Type: Full-Time

Here's what you will get to explore
AI Model Evaluation & Benchmarking
- Build and execute evaluation pipelines using ground truth datasets.
- Measure model performance using Precision, Recall, F1 Score, and other evaluation metrics.
- Benchmark model and prompt performance across multiple iterations.
- Continuously improve classifier accuracy through structured experimentation.

LLM Prompt Engineering
- Design, develop, and optimize prompts for enterprise-scale classification use cases.
- Perform regression testing to validate prompt quality and consistency.
- Treat prompts as reusable, version-controlled engineering assets.
- Experiment with structured outputs, few-shot prompting, and instruction tuning techniques.

Data Engineering & Classification
- Curate and maintain high-quality labeled datasets for training and evaluation.
- Work with annotation tools to improve data quality using analyst feedback.
- Develop and enhance components within the AI-powered classification pipeline.
- Write clean, scalable,



and production-ready Python code.

AI Infrastructure & Deployment
- Support packaging, validation, and deployment of ML models across cloud, self-hosted, and air-gapped environments.
- Contribute to inference infrastructure and deployment automation.
- Collaborate with senior engineers to improve AI platform reliability and scalability.

Collaboration & Innovation
- Work closely with AI researchers, Product Engineering, and Security teams.
- Participate in technical discussions, architecture reviews, and experimentation initiatives.
- Contribute cutting-edge ideas that enhance the AI capabilities of the ARMOR Platform.

We can see the next Entrepreneur at Seclore if you have
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 23 years of experience in Machine Learning, NLP, AI Engineering, or Software Development.

Machine Learning &

📌 Software Engineer (Mumbai)
🏢 Seclore Technology
📍 Mumbai