# Staff Engineer - Machine Learning

**Company**: Freshworks
**Location**: Bengaluru, KA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.smartrecruiters.com/Freshworks/744000155675855-staff-engineer-machine-learning?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7ca40efd-1a1

## Description

As a Staff Machine Learning Engineer at Freshworks, you will serve as the critical architectural bridge between cutting-edge Data Science research and massive-scale, product-ready implementation.

Your work will directly result in:

- Massive Scale & Reliability: Architecting and deploying robust ML APIs and pipelines capable of serving millions of requests with ultra-low latency and unwavering reliability.

- Engineering Excellence: Setting the gold standard for ML Engineering practices, MLOps, and system design across the organization.

- Accelerated AI Innovation: Transforming theoretical models into high-performance, production-grade systems, directly shrinking the time-to-market for complex ML business solutions.

- Cross-Organizational Multiplier: Acting as a strategic technical anchor, influencing cross-product architects, leading POCs, and mentoring teams to ensure tight technical alignment across all engineering groups.

Responsibilities:

- End-to-End Pipeline Architecture: Architect, build, and manage comprehensive, highly scalable ML pipelines covering data pre-processing, model generation, automated deployment, cross-validation, and active feedback loops.

- ML Algorithm Implementation: Partner deeply with Data Scientists to translate complex, theoretical ML models and algorithms into high-performance, production-grade code.

- High-Performance Service Delivery: Design, develop, and deploy highly extensible ML API services rigorously optimized for low latency and massive scalability.

- Operational Intelligence & Observability: Devise and build advanced monitoring capabilities to track both engineering system health and ML model performance metrics (drift, accuracy, etc.) over the long term.

- Strategic Innovation & Architecture: Architect solutions from scratch, leading Proof of Concept (POC) initiatives across various tech stacks to validate optimal solutions for complex business challenges.

- Technical Leadership & Execution: Own the full lifecycle of feature delivery autonomously,from requirement gathering with product stakeholders to final deployment,while collaborating with cross-product architects to drive platform adoption.

Qualifications:

- Experience: 9+ years of progressive, highly relevant experience in software engineering and machine learning development.

- Production Excellence: A proven, demonstrable track record of successfully architecting, building, and productionizing complex Machine Learning solutions at an enterprise scale.

- MLOps Mastery: Deep, practical experience with modern MLOps practices, ensuring seamless, automated, and secure model transitions from development and training into production environments.

- Education: A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.

Skills:

- Core Programming: Expert-level Object-Oriented Programming (OOP) expertise in Python and Java.

- ML & Deep Learning Frameworks: Mastery of industry-standard ML libraries and Deep Learning frameworks, including PyTorch, Keras, TensorFlow, and TFServing.

- Foundational Engineering: Deep, advanced understanding of Data Structures, Algorithms (DSA), and complex, distributed System Design.

- Cloud & Infrastructure: Hands-on knowledge and proficiency with Cloud infrastructure and services (AWS highly preferred) for large-scale data processing and ML model hosting.

- Analytical Problem Solving: Exceptional analytical and debugging skills with a relentless focus on algorithmic optimization, resource efficiency, and resolving bottlenecks in distributed systems.

## Skills

### Required
- Object-Oriented Programming
- Python
- Java
- PyTorch
- Keras
- TensorFlow
- TFServing
- Data Structures
- Algorithms
- System Design
- Cloud infrastructure
- AWS
- MLOps

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Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/Freshworks/744000155675855-staff-engineer-machine-learning?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)