AI/ML Engineer - Remote Work from Home

4 - 9 years

14 - 24 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Skills Required

ci/cd pipelines vector databases and rag implementation scikit-learn machine learning ai agent building python pub/sub docker claude

Work Mode

Remote

Job Type

Full Time

Job Description

AI ML Engineer - Remote

Build sophisticated AI agent systems across enterprise business automation and intelligent trading platforms. Design and deploy production LLM-based multi-agent architectures, real-time ML models, and automated workflows integrating with NetSuite, Amazon Connect, and LiveAgent. No financial background requiredwe value AI/ML expertise and problem-solving ability.

Key Responsibilities

  • Design multi-agent LLM systems using GPT-4, Claude, Gemini with LangChain/LlamaIndex
  • Build voice AI agents on Amazon Connect for customer phone interactions
  • Develop conversational AI for email/chat integrated with LiveAgent platform
  • Create ML models for real-time pattern recognition in high-frequency time-series data
  • Build data ingestion pipelines processing millions of data points daily
  • Integrate NetSuite ERP for automated quote generation and business workflows
  • Deploy containerized services on GCP/AWS with comprehensive monitoring

Required Skills

  • Expert Python: NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow
  • Production LLM experience with multi-agent orchestration and RAG
  • Machine learning: supervised/deep learning, time-series analysis
  • API development (FastAPI/Flask), event-driven architecture
  • Cloud: GCP (Cloud Run, BigQuery, Vertex AI) or AWS (Lambda, Connect)
  • Databases: PostgreSQL, TimescaleDB; Message queues: Kafka, RabbitMQ
  • Docker, Kubernetes, CI/CD pipelines
  • Enterprise integration: ERP/CRM systems, OAuth 2.0

Preferred

  • Bachelors, MS/PhD in CS, Mathematics, Physics, or related field
  • Amazon Connect, LiveAgent, or NetSuite experience
  • Voice AI, NLP, sentiment analysis
  • Reinforcement learning, distributed computing
  • High-frequency data processing

What You'll Build

Business Automation:

Trading Systems:

Application

Submit: GitHub portfolio, system design exercise (choose business automation or trading system), ML project deep dive, resume

Requirements:

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