Iris Software is a 35 year old IT Service organization which has been a trusted software engineering partner to several Fortune 500 companies for over three decades. At Iris Software, our vision is to be our clients most trusted technology partner, and the first choice for the industrys top professionals to realize their full potential.
We help clients realize the full potential of technology-enabled transformation by bringing together a unique blend of domain knowledge, best-of-breed technologies, and experience executing essential and critical application development engagements. Our highly-experienced talent and rightsized teams help develop core, complex, and mission-critical applications and solutions for leading enterprises across Capital Markets/Front office operations, Banking, Investment Management, Brokerage, Risk and Compliance, Insurance.
With over 4,300 associates across India, U.S.A, Current York and Canada. We help our enterprise clients thrive with Our highly-experienced talent and rightsized teams help to develop core. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.
https://www.linkedin.com/company/iris-software-inc./
About the Role: Lead Engineer - Machine Learning
Location: Hybrid (Gurugram)
Role Overview: We are seeking a Lead Engineer to optimize our machine learning deployment and operations ecosystem. The role involves designing scalable ML infrastructure, automating pipelines, ensuring reliable model performance,
and collaborating with cross-functional teams to deliver production-grade AI solutions.
Role: Lead- MLOPS Engineer
Location: Gurugram (Hybrid) & Bengaluru
Experience: 8-10 years
Key Responsibilities-
AI/ML Engineers to support our Communication Surveillance application within the Banking and Capital Markets domain.
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 :
- Machine Learning & Deep Learning
- Natural Language Processing (NLP)
- Databricks
- 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)
I would be happy to discuss this opportunity with you in more detail. If interested, please revert with your latest resume and a convenient time to connect -
[email protected]
📌 Lead Machine Learning Engineer (Delhi)
🏢 IRIS SOFTWARE
📍 Delhi