Job Description

• Bengaluru, Karnataka, India

Company Description

Freshworks makes it fast and easy for businesses to delight their customers and employees. We do this by taking a fresh approach to building and delivering software that is affordable, quick to implement, and designed for the end user. Headquartered in San Mateo, California, Freshworks has a global team operating from 13 global locations to serve more than 65,000 companies -- from startups to public companies – that rely on Freshworks software-as-a-service to enable a better customer experience (CRM, CX) and employee experience (ITSM).

Freshworks’ cloud-based software suite includes Freshdesk (omni-channel customer support), Freshsales (sales automation), Freshmarketer (marketing automation), Freshservice (IT service desk), Freshchat (AI-powered bots), supported by Neo, our underlying platform of shared services.

Freshworks is featured in global national press including CNBC, Forbes, Fortune, Bloomberg and has been a BuiltIn Best Place to work in San Francisco and Denver for the last 3 years. Our customer ratings have earned Freshworks products TrustRadius Top Rated Software ratings and G2 Best of Awards for Best Feature Set, Best Value for the Price and Best Relationship.

Job Description

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.

Qualifications

• 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 with a minimum of 7 years of relevant work experience.
• 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.