AI/ML Engineer (Founding Team)

Role Overview

We are building an AI-powered Network Reliability Platform that combines Edge Computing, Telemetry, AI, and Network Observability to help businesses automatically detect, diagnose, and explain network failures. We're looking for a passionate AI Engineer who enjoys solving real-world infrastructure problems rather than only building chatbots.

Responsibilities

• Design and implement AI models tailored for network reliability and performance.
• Analyze complex telemetry, logs, metrics, and time-series datasets.
• Build robust anomaly detection and incident classification pipelines.
• Research modern AI techniques for infrastructure monitoring and digest technical research papers.
• Integrate LLMs and generative agents where they provide practical operational value.
• Work closely with backend and Edge engineers to optimize models for edge deployment.
• Write clean, maintainable, and well-documented code.

Requirements

• Final-year students & recent graduates or engineers with 0–2 years of experience.
• Strong personal project or internship portfolios.
• Ability to independently research new technologies and adapt quickly.
• Experience with Python, SQL, and Git.
• Knowledge of Deep Learning, Supervised & Unsupervised Learning, and Feature Engineering.
• Familiarity with PyTorch or TensorFlow, Scikit-learn, Pandas, and NumPy.
• Understanding of LLMs, Prompt Engineering, RAG, and Vector Databases.

Skills

• Python
• PyTorch
• LLMs
• SQL
• Pandas

Benefits

• Commuter assistance
• Leave encashment
• Paid sick time
• Paid time off