Machine Learning Engineer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

We are looking for a Machine Learning Engineer to operationalize models and build scalable ML systems on AWS for financial applications. This role focuses on production-grade deployment automation and lifecycle management of ML solutions.

Key Responsibilities

Production ML Systems:

Convert prototypes into robust low-latency services for batch and real-time inference.
Design feature stores training pipelines and model registries using AWS-native tools.

AWS Architecture & Engineering:

Build ML pipelines leveraging AWS services (SageMaker Glue Lambda Step Functions Redshift).
Optimize cost performance and reliability for production workloads.

Data Engineering & Performance:

Develop PySpark and SQL transformations for large financial datasets.
Ensure data quality and reproducibility across pipelines.

MLOps & Compliance:

Implement CI/CD for ML model versioning and automated retraining.
Set up monitoring for drift performance and security compliance.

Collaboration & Delivery:

Work closely with Data Scientists and stakeholders to align ML solutions with business goals.
Document architecture runbooks and operational guidelines.

Qualifications :

Required Skills & Qualifications

5 years of strong programming skills in Python PySpark and SQL.
Hands-on experience with AWS services (SageMaker Glue Lambda Redshift Step Functions).
Expertise in MLOps practices and production deployment of ML models.
Familiarity with financial data and compliance requirements.

Preferred Qualifications

Experience with SageMaker Pipelines and Feature Store.
Knowledge of streaming inference and event-driven architectures.
AWS certifications (ML Specialty Solutions Architect) are a plus.

Additional Information :

At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their well-being professional growth and financial stability.

One of our standout advantages is the ability to work with a hybrid schedule along with business travel allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.

We prioritise the health and safety of our employees providing private medical and life insurance coverage as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations including AWS Microsoft Oracle and Red Hat.

Our employee-designed Profit Share scheme divides a portion of our companys profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential offering Pathways Career Development Quarterly a programme designed to support professional growth.

Remote Work :

Employment Type :

Full-time