Lead Software Engineer - Machine Learning

Overview of the Role :

As a Machine Learning Engineer, you will focus on building next-generation platform services to enable Machine learning capabilities across the Freshworks suite of products.

As part of your job, you will extensively use your analytical skills, knowledge of distributed systems and scalable, high-performance systems to build ML pipelines and API services.

Responsibilities

Deliver scalable, low latency, and high-performance ML solutions for different Freshworks products Build ML pipelines end-to-end, including stages such as data pre-processing, model generation, cross-validation, and active feedback

Build efficient systems for processing large amounts of data; be proficient with distributed programming frameworks such as Hadoop/Spark Drive solutions and implementation leveraging different open source libraries and distributed systems

Work closely with Data Scientists and come up with scalable system and model architectures for enabling real-time ML/AI services Liaise with architects and engineers from other product teams to build solutions and drive adoption

Elicit quality attributes of the system and define metrics to establish its success.

Requirements

An ideal candidate profile would include Bachelors or Master’s degree in Computer science or related field A strong grounding in Data structures and algorithms, Database concepts

Good oral and written communication skills, analytical and problem-solving skills

Hands-on programming experience in JVM languages and Python Experience in building scalable, high-performance, low latency systems Foundation in basic math concepts

Background in big data tech, streaming applications Prior experience in building and deploying ML systems Familiarity with Machine learning algorithms

Ability to design ML systems end-to-end; this includes big-data handling, pre-processing, model generation logic, model persistence including choice of online data stores, etc., systems for consuming active feedback (online learning), web services to publish model predictions to consumers.