DevOps Engineer | SDE - 1 | SDE  - 2

Role: Machine Learning Engineer

Function: Machine Learning / Artificial Intelligence

Location: Bengaluru, India (On-site)

Type: Full-time

Compensation: ₹25–30 LPA based on experience

Industry: Human Resources Technology (HR Tech), SaaS

About Company

The company is a global HR platform simplifying international hiring and workforce management. As an Employer of Record, it legally employs international hires on behalf of client companies.

Businesses can hire, onboard, pay, and manage employees across 140+ countries through one centralized platform. It handles local contracts, payroll, benefits, taxes, and compliance — reducing legal risk and admin burden.

The platform serves startups and enterprises alike, from early-stage to large-scale teams. It's a 20-person startup moving fast, building tools that empower distributed teams worldwide.

Position Overview

We are looking for a Machine Learning Engineer to join our growing tech team. You will design, build, and deploy production-grade ML models in Python and PyTorch that serve 10,000+ daily active users on our global HR platform. This role sits at the intersection of data, product, and engineering — with real ownership and real impact.

Role & Responsibilities

• Build and deploy production ML models using Python and PyTorch serving 10,000+ daily users on AWS infrastructure
• Design end-to-end ML pipelines covering data ingestion, feature engineering, model training, and deployment on AWS (SageMaker, EC2, S3)
• Develop intelligent features such as compliance recommendations, payroll anomaly detection, and hiring intelligence for global HR workflows
• Monitor model performance in production, detect data drift, and continuously retrain and improve models
• Collaborate with product and backend engineering teams to translate business problems into scalable ML solutions
• Maintain experiment tracking, model versioning, and documentation to ensure reproducibility across the team

Must Have Criteria

• 3–6 years of hands-on ML engineering experience with Python as the primary language
• Proficiency in PyTorch for building, training, and fine-tuning deep learning models
• Experience deploying and maintaining ML models in production on AWS (SageMaker, EC2, Lambda, or S3)
• Proven experience building ML systems that serve high-traffic production environments (10,000+ daily users or equivalent scale)
• Strong knowledge of ML pipeline development — feature engineering, model training, evaluation, and monitoring
• Experience with experiment tracking tools such as MLflow or Weights & Biases

Nice to Have

• Experience in HR tech, fintech, or SaaS platforms dealing with compliance or payroll data
• Familiarity with NLP models for document understanding or classification tasks
• Prior experience at a startup or scaleup (Series A–C) where you owned ML systems end-to-end
• AWS certifications such as AWS Certified Machine Learning Specialty

What We Offer

• Competitive salary of ₹25–30 LPA based on experience
• Opportunity to build ML systems from the ground up at a fast-growing global HR startup
• Direct ownership and impact on a platform used across 140+ countries
• Collaborative, high-trust work environment at our Bengaluru office
• Strong career growth as the team and product scale globally