Project description:
- You will leverage Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI, Databricks, and MLflow to build scalable, production-ready machine learning solutions while adhering to the security, compliance, and governance standards required in highly regulated financial environments.

Responsibilities:
Design, develop, train, fine-tune, and deploy AI/ML models for Communication Surveillance use cases.

Build advanced NLP solutions for analyzing structured and unstructured communication data.

Create scalable machine learning pipelines using Databricks Lakehouse Platform.

Manage model lifecycle using MLflow, including experiment tracking, model registry, deployment, monitoring, and version control.

Develop data preprocessing, feature engineering, model training, evaluation, and inference pipelines.

Work closely with business stakeholders, compliance teams, and domain experts to translate surveillance requirements into AI solutions.

Ensure model explainability, accuracy, robustness, and regulatory compliance.





Optimize model performance for production deployment and continuous improvement.

Follow MLOps best practices for CI/CD, model governance, monitoring, and production support.

Document technical designs, model architecture, deployment processes, and operational procedures.

Skills:
Must have

7-12 years of overall IT experience.

Strong experience in Machine Learning and Deep Learning.

Robust experience in Natural Language Processing (NLP).

Hands-on experience with Large Language Models (LLMs) and Generative AI.

Experience in Model Training, Fine-Tuning, and Evaluation.

Strong programming experience in Python.

Hands-on experience with PyTorch and TensorFlow.

Strong experience with Databricks (Lakehouse, Delta Lake, Workflows, and Model Serving).

Experience with MLflow, including Experiment Tracking, Model Registry, Model Deployment, and Monitoring.

Nice to have

Experience in Banking and Capital Markets dom

📌 Senior Ai/ml Engineer (Gurugram)
🏢 Luxoft
📍 Gurugram