Staff Engineer Machine Learning

The Impact You Will Create

As a Staff Machine Learning Engineer you will serve as the critical architectural bridge between cutting-edge Data Science research and massive-scale product-ready implementation. You will move beyond standard feature delivery to define the technical vision and infrastructure that brings sophisticated algorithms to life. 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.

Roles & 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 autonomouslyfrom requirement gathering with product stakeholders to final deploymentwhile 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 Bachelors or Masters 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.

Additional Information :

Please note this is a hybrid role from Bengaluru that requires an in-office presence 3 days / week (Tue-Thu).

At Freshworks we have fostered an environment that enables everyone to find their true potential purpose and passion welcoming colleagues of all backgrounds genders sexual orientations religions and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant richer environment that boosts the goals of our employees communities and business. Fresh vision. Real impact. Come build it with us.

Remote Work :

No

Employment Type :

Full-time