Advanced Machine Learning Solutions Specialist

4 days ago

Udaipur, Rajasthan, India beBeeMachineLearningEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title

We are seeking a seasoned Machine Learning Engineer with expertise in developing and deploying AI systems at scale.

About Us

BugRaid.AI is building the world's first enterprise-ready incident copilot — intelligent, agentic systems that can detect, diagnose, and resolve complex production incidents across massive streams of logs, metrics, traces, and alerts.

Key Responsibilities
  • Enterprise-Ready AI Development: Design, implement, and deploy AI agents that operate reliably under enterprise constraints, such as multi-cloud environments, zero data egress, and compliance requirements.
  • Large-Scale Observability Data Analysis: Develop and test reasoning workflows, prompting strategies, and tool-use policies specifically tailored for large-scale observability data.
  • Training & Alignment: Utilize techniques such as fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows, thereby avoiding reliance on toy datasets.
  • Synthetic Data Generation: Create scalable pipelines for producing synthetic incidents—logs, metrics, traces—used for training and benchmarking in scenarios with limited data.
  • Cross-Team Collaboration: Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into the BugRaid.AI platform.
  • Production Excellence: Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.
Requirements
  • 5+ years of production experience building and deploying ML/AI systems at scale.
  • PhD or Master's in Computer Science, Machine Learning, or related fields (or equivalent experience).
  • Strong foundation in deep learning, reinforcement learning, or robotics.
  • Hands-on experience with LLM fine-tuning, RLHF, or synthetic data generation.
  • Proven track record of shipping AI systems into production (not just research prototypes).
  • Experience with cloud-native architectures (AWS/Azure/GCP), Kubernetes, and MLOps tooling (SageMaker, MLflow, Ray, Kubeflow).
  • Comfort working with large-scale data streams (Kinesis, Kafka, Flink) and vector databases (OpenSearch, Pinecone, Weaviate).
Why Join Us
  • Work on high-impact AI challenges that sit at the intersection of AI, DevOps, and enterprise reliability.
  • Shape the core intelligence layer of a product designed to be enterprise-ready from day one.
  • Collaborate with a world-class founding team experienced in AI, DevOps, and large-scale systems.
  • Competitive compensation and equity opportunities.
  • A culture that values research rigor, engineering excellence, and execution speed.

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