ML OPS - Lead

Iris Software

Fresher Gurugram Full Time Work from office
Iris Software logo
Posted : 1 week ago
Actively hiring

Job description

Join Iris Software, a distinguished IT services company recognized among India's Top 25 Best Workplaces in the IT industry. We are seeking a seasoned AI/ML Engineer with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to drive innovation in Communication Surveillance solutions.

This role focuses on developing and refining AI/ML models crucial for the Banking and Capital Markets sectors. You will play a key part in creating systems that identify potential regulatory breaches, market abuse, insider trading indicators, collusion, information leakage, and employee misconduct across various communication channels. The ideal candidate will possess proven experience in building enterprise-grade NLP solutions, robust model training pipelines, and MLOps frameworks within strictly regulated environments.

Responsibilities

Develop and deploy advanced AI/ML models for communication surveillance in the Banking and Capital Markets domain.

Build and enhance solutions that detect regulatory breaches, market abuse, insider trading, collusion, information leakage, and employee misconduct.

Design and implement enterprise-grade NLP solutions and model training pipelines.

Establish and maintain MLOps frameworks for seamless model deployment and monitoring in regulated environments.

Utilize Databricks for data processing, model training, and deployment, leveraging its Lakehouse, Delta Lake, and Model Serving capabilities.

Qualifications

A strong background in AI/ML engineering with specialized expertise in Natural Language Processing (NLP) and Large Language Models (LLMs).

Proficiency in Python, PyTorch, and TensorFlow for developing and implementing machine learning models.

Extensive experience with Databricks, including Lakehouse architecture, Delta Lake, Workflows, and Model Serving.

Hands-on experience with MLflow for experiment tracking, model registry, and model deployment and monitoring.

Familiarity with MLOps principles, including CI/CD for ML pipelines and model deployment & serving.

Experience in developing AI/ML solutions within highly regulated industries such as Banking and Capital Markets is essential.

Essential Skills

Natural Language Processing (NLP)Large Language Models (LLMs)DatabricksMLflowMachine LearningDeep LearningGenerative AIModel TrainingFine-TuningEvaluationPythonPyTorchTensorFlowLakehouseDelta LakeWorkflowsModel ServingExperiment TrackingModel RegistryModel DeploymentMonitoringCI/CDData Science

Highlights

  • Actively hiring

More Details

RoleML OPS - Lead
IndustryInformation Technology & Services, Banking, Capital Markets
DepartmentMachine Learning Engineer, AI Engineer
Employment TypeFull Time, Work from office

About the Company

Iris Software logo

Iris Software

Information Technology & Services