Data Scientist

BugRaid AI

Location: Remote

Preference: Hyderabad / Bangalore candidates only

Type: Full-time | ESOPs + Salary

Experience: 2+ years

Immediate joiners only preferred

Responsibilities

Impactful Machine Learning: Apply and scale models like Random Forest, DBSCAN, KNN, and GNNs to understand noisy logs, alerts, and metrics in real-time and batch.

• Agent Intelligence

  : Develop lightweight reasoning agents that assist SREs in debugging, resolving, and predicting incidents.

• AI Agent Architecture:

  Design LLM-powered agents for logs, metrics, traces, and incident resolution.

• Prompt Engineering & Tooling:

  Create advanced function-calling and reasoning workflows for multi-step execution.

• Zero Data Retention Architecture:

  All data is read-only, secure, and compliant (PII, GDPR, PCI DSS) — your work resides within ephemeral AWS-native environments.

• Infrastructure-Aware ML:

  Collaborate closely with our AWS stack (Lambda, ECS, Kinesis, S3, Bedrock) to ensure scalable, secure models that serve with low latency.

• Feedback Loops & Fine-Tuning:

  Incorporate real-time signal feedback and model evaluation for precise incident response.

• Collaborative Development:

  Partner with backend and infrastructure engineers to deploy models as microservices and REST endpoints seamlessly.

• Data Analysis:

  Evaluate quality, clean, and structure raw data for downstream processing.
• Design scalable and accurate prediction algorithms.
• Collaborate with engineering teams to transition analytical prototypes into production-ready systems.
• Generate actionable insights to improve business operations.

Qualifications

• Bachelor's degree or equivalent experience in a quantitative field (Computer Science, Engineering, etc.)
• 2+ years of practical ML experience
• Experience with Random Forest, DBSCAN, KNN, GNN (Graph Neural Networks)
• Proficiency in Python and ML libraries such as scikit-learn, XGBoost, PyTorch.
• Experience with RLHF, LangChain, or open-source agentic libraries
• Comfort with AWS services (Lambda, ECS, Kinesis, S3, SageMaker, Bedrock)
• Experience in log analysis, anomaly detection, or observability systems is a big plus
• Strong debugging skills and systems-level thinking
• At least 1-2 years in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine learning, clustering, classification techniques, and algorithms
• Proficiency in a programming language (Python, JavaScript)
• Knowledge of Big Data frameworks and visualization tools (preferred)

Why Join BugRaid.AI

• We’re building a groundbreaking AI incident response platform.
• Remote-first team, open feedback loops, and high trust culture.
• Shareholding opportunities with meaningful equity and ownership of key AI pipeline components.
• Backed by real customers in our beta stage, we are addressing practical operational challenges.

Ready to help redefine how AI manages software failures?

📩 Send your resume or LinkedIn profile to manoj.bhamidipati@bugraid.ai or DM me.