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. 

Overview of the role:

As a Staff Engineer  , you will focus on building and architecting next-generation platform services for Freshworks with your strong background in distributed systems and mentor your team to achieve this.You will have an opportunity to redefine customer experiences by building systems that are milli-second efficient, always available and working at internet scale. If you are the kind of engineer who is passionate about building systems, have a good eye for analysis and a mind that can think outside the box, we want to talk to you..

We are seeking a highly skilled and experienced Machine Learning Architect to join our team. The ideal candidate should have strong expertise in Python, Spark, AWS services like SageMaker, and real-time systems like Kafka. In addition, the candidate should possess a basic understanding of machine learning models, knowledge of MLOps, and previous experience in building APIs.

If you thrive in a fast-paced environment and have a passion for machine learning and system architecture, we would love to hear from you. Join our team and contribute to building cutting-edge machine learning systems that revolutionize our industry.

Responsibilities:

- Collaborate with machine learning engineers, data scientists, and product managers to design and develop scalable machine learning systems.

- Take responsibility for the end-to-end delivery of complete machine learning systems, ensuring they meet the product requirements.

- Estimate project timelines and develop detailed plans for the implementation of machine learning solutions.

- Design and build APIs to enable seamless integration of machine learning models into the overall system architecture.

- Stay updated with the latest advancements in machine learning techniques and technologies to drive continuous improvement within the team.

- Collaborate with other team members to resolve technical challenges and ensure optimized performance of the machine learning systems.

- Work closely with the product manager to ensure system designs align with the product requirements and deliver exceptional user experiences.

- Maintain documentation of system designs, processes, and guidelines for future reference.

Requirements:

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

- Proven experience as a Machine Learning Architect or a similar role.

- Excellent programming skills in Python and familiarity with Spark for large-scale data processing.

- Proficient in crafting comprehensive ML engineering deployment pipelines from start to finish.

- Experience in developing pipelines for feature transformation, creation, and feature store integration.

- Skilled in designing automation pipelines for model feedback.

- Experience in troubleshooting models and utilizing GPU technology.

- Strong understanding of AWS services, especially SageMaker, for building and deploying machine learning models.

- Experience working with real-time systems like Kafka for processing streaming data.

- Basic knowledge of machine learning models, algorithms, and statistics.

- Familiarity with MLOps practices and tools to streamline the machine learning lifecycle.

- Ability to estimate project timelines accurately and create detailed plans for project execution.

- Strong collaboration skills to effectively work with machine learning engineers, data scientists, and product managers.

- Excellent problem-solving skills and a detail-oriented approach to work.
 

All your information will be kept confidential according to EEO guidelines.

At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.