Enterprise Data Solutions Engineer

4 days ago

Kottayam, Kerala, India beBeeSoftware Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Software Engineer - Large Scale Machine Learning

As a software engineer on our team, you will be responsible for designing and implementing scalable software solutions to integrate multiple tools and technologies. This involves developing and integrating APIs for search, chat, and workflow automation with data sources ranging from Google Drive to Slack.

The ideal candidate should have hands-on experience in designing and implementing large scale machine learning models and algorithms. They must also have strong analytical and data-handling skills, with the ability to design and evaluate experiments that influence product direction.

You will work collaboratively with product, design, and customer-facing teams to understand needs and deliver impactful features. Your excellent communication skills will enable you to effectively collaborate with cross-functional teams to break down complex problems into smaller tasks.

Key Responsibilities:
  • Develop and integrate Glean APIs for search, chat, and workflow automation with data sources ranging from Google Drive to Slack.
  • Engineer robust solutions across the stack, including query understanding, document processing, and adapting models to specific organizational domains.
  • Invent new signals to personalize and improve search results, combining LLMs and traditional search engines to answer complex organizational questions.
  • Automate business processes by orchestrating multi-step workflows and building agents that synthesize and act on enterprise data.
Required Skills:
  • Proven proficiency in Python, Go, Java, or C++ for building production-ready code and machine learning models.
  • Expertise with search, NLP, recommendation systems, or similar large-scale ML technologies.
  • Strong analytical and data-handling skills, with the ability to design and evaluate experiments that influence product direction.
  • Experience working in customer-focused, cross-functional, and collaborative engineering environments.

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