ML OPS - Lead

Iris Software Inc.

Gurugram District

On-site

INR 1,500,000 - 2,300,000

Full time

14 days+

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Benefits offered by this job

World-class benefits

Job summary

Iris Software Inc. is seeking an experienced AI/ML Engineer to advance our NLP and LLM-driven compliance analytics for Banking and Capital Markets. You will design, train and deploy models that monitor communications across emails, chats and voice transcripts.

Join a regulated industry team building enterprise-grade ML pipelines, MLOps practices, and model monitoring using Databricks and MLflow in a collaborative environment at Gurugram.

Qualifications

  • Experience with enterprise NLP solutions in regulated environments.
  • Experience building model training pipelines and MLOps frameworks.
  • Familiarity with CI/CD for ML pipelines and model lifecycle management.

Skills

NLP
LLMs
Model Training
Python
PyTorch
TensorFlow
Databricks
MLflow

Tools

Databricks
MLflow

Job description

Job Summary

We are seeking an experienced AI/ML Engineer with strong expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Databricks, and MLflow to develop and enhance Communication Surveillance solutions for the Banking and Capital Markets domain.

The candidate will be responsible for building and deploying AI/ML models that detect potential regulatory breaches, market abuse, insider trading indicators, collusion, information leakage, and employee misconduct across electronic communications including emails, chats, collaboration platforms, and voice transcripts.

The ideal candidate should have experience developing enterprise‑grade NLP solutions, model training pipelines, and MLOps frameworks in highly regulated environments.

Key Skills
  • Natural Language Processing (NLP)
  • Large Language Models (LLMs) and Generative AI
  • Model Training, Fine‑Tuning, and Evaluation
  • Python, PyTorch, TensorFlow
  • Databricks (Lakehouse, Delta Lake, Workflows, Model Serving)
  • MLflow (Experiment Tracking, Model Registry, Model Deployment & Monitoring)
Mandatory Competencies
  • Data & AI – MLOps – CI/CD (for ML pipelines)
  • Data & AI – MLOps – Machine Learning (ML)
  • Data & AI – MLOps – Model Lifecycle Management
  • Data & AI – MLOps – Monitoring & Observation
  • Data & AI – MLOps – Python
  • Data & AI – MLOps – Model Registry & Experiment Tracking
  • Data & AI – MLOps – Model Deployment & Serving
  • Data & AI – MLOps – Data Pipeline & Feature Management
Perks And Benefits For Irisians

Iris provides world‑class benefits for a personalized employee experience. These benefits are designed to support financial, health and well‑being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.

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