Job highlights

- 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).
- Ensure models meet standards for reliability,fairness,and explainability where required.
- Preferred Experience .
- Experience deploying ML models in production environments.

` We 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.

`,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
- Cooperative, product-focused engineering culture
- Competitive compensation and benefits

Compensation Palo Alto, CA: $180,000 $230,000 base + bonus, equity, and advantages

Pune, India: Competitive local market compensation

`

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Machine Learning Engineer (Pune)
🏢 Orvera.ai
📍 Pune