Staff Engineer - Machine Learning

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Chennai, Tamil Nadu
Hybrid
3-5 Years Experience
Artificial Intelligence • Cloud • Enterprise Web • Software • Business Intelligence
Delight made easy. We make it fast and easy for businesses to delight their customers and employees.
The Role

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

  • 7-10 years of experience in Research, design and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Explore practical applications of LLM technology in the field of AI Ops, and solving problems such as intelligent interaction, root cause analysis, and anomaly detection
  • Construct an LLM applications framework, integrate it into a unified SRE software platform
  • Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
  • Run machine learning tests and experiments, and document findings and results
  • Perform statistical analysis and fine-tuning using test results
  • Train, retrain, and monitor machine learning systems and models as needed
  • Construct optimized data pipelines to feed machine learning models
  • Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
  • Experience with ML, deep learning, Python

Qualifications

Degree in Computer Science, Prior experience in building and deploying ML systems, Hands-on programming experience in JVM languages and Python

Additional Information

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.

What the Team is Saying

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The Company
HQ: San Mateo , CA
5,500 Employees
Hybrid Workplace
Year Founded: 2010

What We Do

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 dedicated team operating from 13 global locations to serve customers throughout the world.

Why Work With Us

Our fresh approach to business software has enabled over 50,000 companies big and small across the globe to exceed customer and employee expectations. We deliver on the unfulfilled promise of easy-to-use SaaS software, and help our customers drive clear business results.

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Freshworks Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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