Machine Learning Engineer

Orvera; Pune District; On-site; INR 17,274,000 - 22,073,000; Full time

Benefits offered by this job

Competitive compensation

Equity

On-site work

Job summary

Orvera is seeking a Machine Learning Engineer to design, build, and deploy ML systems for its B2B SaaS platform across Palo Alto, CA and Pune, India. You will take models from experimentation to production, ensuring reliability at scale, and collaborate with Backend, Product, and Data teams to integrate ML into customer workflows.

The role focuses on end-to-end ML lifecycle, from data pipelines and feature engineering to model monitoring and retraining, with emphasis on production safety,

Qualifications

• 4–8+ years of experience in Machine Learning Engineering or Applied ML.
• Strong proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).
• Experience deploying ML models in production environments.
• Solid understanding of data structures, algorithms, and system design.
• Experience working with real-world, messy data.

Responsibilities

• Design, train, and evaluate machine learning models for production use cases.
• Deploy and maintain models in live environments with monitoring.
• Build and maintain data pipelines for training and inference; perform feature engineering on structured and unstructured data.
• Integrate ML models into backend services and APIs with monitoring and lifecycle management.
• Collaborate with Product and Engineering teams to translate requirements into ML solutions; participate in code reviews and design discussions.

Skills

Python

PyTorch

TensorFlow

scikit-learn

Production ML deployment

System design

Job description

# MachineLearningEngineerPalo Alto, CA and Pune, IndiaFull-timeOn-siteEngineering & TechnicalApply for this roleSee all open roles## Role overviewWe are seeking **Palo Alto, CA or Pune, India** to design, build, and deploy machine learning systems that power intelligent features across our B2B SaaS platform. This role focuses on taking models from experimentation to production and ensuring they operate reliably at scale.You will work closely with Backend Engineers, Product Managers, and Data teams to integrate ML capabilities into real customer workflows.## Key responsibilities### Model Development & Deployment* Design, train, and evaluate machine learning models for production use cases* Deploy and maintain models in live environments with appropriate monitoring* Improve model performance through iteration, experimentation, and data analysis### Data Pipelines & Feature Engineering* Build and maintain data pipelines for training and inference* Perform feature engineering and data preprocessing for structured and unstructured data* Ensure data quality, reproducibility, and version control### Production ML Systems* Integrate ML models into backend services and APIs* Implement model monitoring, logging, and performance tracking* Handle model retraining, updates, and lifecycle management### Collaboration & Delivery* Partner with Product and Engineering to translate requirements into ML solutions* Work with DevOps to optimize ML infrastructure and deployment pipelines* Participate in code reviews, design discussions, and technical planning### Responsible & Scalable ML* Ensure models meet standards for reliability, fairness, and explainability where required* Follow best practices for security, data privacy, and compliance### Qualifications* 4–8+ years of experience in **Machine Learning Engineering or Applied ML*** Strong proficiency in **Python** and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)* Experience deploying ML models in production environments* Solid understanding of data structures, algorithms, and system design* Experience working with real-world, messy data### Preferred Experience* Experience building ML systems for SaaS or enterprise products* Familiarity with MLOps practices and tooling* Experience with cloud platforms and scalable ML infrastructure* Exposure to NLP, speech, recommendation systems, or predictive modeling### What We Offer* Opportunity to build ML features used in real customer workflows* Ownership of end-to-end ML systems, not just models* Collaborative, product-focused engineering culture* Competitive compensation and benefits### CompensationPalo Alto, CA:: $180,000 – $230,000 base + bonus, equity, and benefitsPune, India:: Competitive local market compensation## At a glanceLocation: Palo Alto, CA and Pune, IndiaEmployment type: Full-timeLocation type: On-siteDepartment: Engineering & TechnicalApply for this role## Apply for Machine Learning EngineerFields marked with \* are required. Your application goes straight to the hiring team.