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Freshworks is seeking a Staff Machine Learning Engineer to serve as the architectural bridge between data science research and production-scale ML implementation. This is a high-impact individual contributor role focused on defining technical vision and infrastructure for sophisticated algorithms at enterprise scale.
Key responsibilities include:
• Architect and deploy robust ML APIs and pipelines capable of serving millions of requests with ultra-low latency and high reliability
• Design end-to-end ML pipelines covering data preprocessing, model generation, automated deployment, cross-validation, and feedback loops
• Partner with Data Scientists to translate complex theoretical ML models into high-performance production code
• Design and develop highly extensible ML API services optimized for low latency and massive scalability
• Build advanced monitoring and observability capabilities to track system health and ML model performance metrics (drift, accuracy, etc.)
• Lead Proof of Concept initiatives across various tech stacks to validate solutions for complex business challenges
• Own full lifecycle of feature delivery from requirement gathering through deployment, collaborating with cross-product architects
• Set gold standards for ML Engineering practices, MLOps, and system design across the organization
• Act as strategic technical anchor, influencing architects and mentoring teams for cross-organizational alignment
Freshworks builds uncomplicated service software for customer and employee experience, trusted by over 72,000 companies including Bridgestone, New Balance, and Sony Music. The role is hybrid from Bengaluru with required in-office presence 3 days per week (Tuesday-Thursday).
Requirements:
• 9+ years of progressive, highly relevant experience in software engineering and machine learning development
• Proven track record of successfully architecting, building, and productionizing complex ML solutions at enterprise scale
• Deep, practical experience with modern MLOps practices and automated model deployment pipelines
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Mathematics, or related quantitative field
• Expert-level Object-Oriented Programming in Python and Java
• Mastery of industry-standard ML libraries and frameworks: PyTorch, Keras, TensorFlow, TFServing
• Deep understanding of Data Structures, Algorithms, and distributed System Design
• Hands-on proficiency with Cloud infrastructure (AWS highly preferred) for large-scale data processing and ML hosting
• Exceptional analytical and debugging skills with focus on algorithmic optimization and bottleneck resolution
