Machine Learning Engineer

Overview

Key Responsibilities

● Set up Data Pipelines: Configure storage in cloud-based compute environments and

repositories for large-scale data ingestion and processing.

● Develop and Optimize Machine Learning Models:

○ Implement Machine Learning for Exception Classification (MLEC) to classify

financial exceptions.

○ Conduct Missing Value Imputation using statistical and ML-based techniques.

○ Develop Early Warning Signals for detecting anomalies in multi-

variate/univariate time-series financial data.

○ Build Model Surveillance frameworks to monitor financial models.

○ Apply Unsupervised Clustering techniques for market segmentation in

securities lending.

○ Develop Advanced Data Quality Control frameworks using TensorFlow-based

validation techniques.

● Experimentation & Validation:

○ Evaluate ML algorithms using cross-validation and performance metrics.

○ Implement data science best practices and document findings.

● Data Quality and Governance:

○ Develop QC mechanisms to ensure high-quality data processing and model

outputs.

Required Skillset

● Strong expertise in Machine Learning & AI (Supervised & Unsupervised Learning).

● Proficiency in Python, TensorFlow, SQL, and Jupyter Notebooks.

● Deep understanding of time-series modeling, anomaly detection, and risk analytics.

● Experience with big data processing and financial data pipelines.

● Ability to deploy scalable ML models in a cloud environment.

Deliverables & Timeline

● Machine Learning for Exception Classification (MLEC): Working codes &

documentation

● Missing Value Imputation: Implementation & validation reports

● Early Warning Signals: Data onboarding & anomaly detection models

● Model Surveillance: Fully documented monitoring framework

● Securities Lending: Clustering algorithms for financial markets

● Advanced Data QC: Development of a general-purpose QC library

Preferred Qualifications

● Prior experience in investment banking, asset management, or trading desks.

● Strong foundation in quantitative finance and financial modeling.

● Hands-on experience with TensorFlow, PyTorch, and AWS/GCP AI services

Job Types: Full-time, Contractual / Temporary

Pay: ₹150,000.00 - ₹166,000.00 per month

Schedule:

• Monday to Friday

Experience:

• total work: 10 years (Required)

Work Location: Remote