ZEALS company
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We Are Zeals - “Designing conversations. Driving conversions.”
Zeals is not another chatbot. Our automated chat solution and conversational technology change how consumers purchase or act online. Zeals converts customers who appear "unengaged" to become "valuable" through designed chat on Messaging Apps. Using AI-powered, human-designed conversation flows across chat platforms, Zeals enables brands to build personalized, automated conversations with their consumers and develop a deeper understanding of their preferences while creating a delightful, seamless shopping experience. Our last 3 years have been phenomenal. We have captured the heart of many businesses in Japan, with over 480 enterprises relying on our chat commerce offering to boost their mobile business.
The goal is simple: to “revolutionize hospitality on the Internet” by unlocking digital customer service experiences that were limited to physical stores previously.
Just Getting Started…
With more than 480 enterprise companies worldwide already utilizing our product, we are perfectly poised to seize market share and fuel exponential growth in the US market, with an eye on global expansion. Investors have taken note of our potential, leading us to recently secure nearly $40 million in funding, backed by Salesforce Ventures.
Your Typical Day With Us
As a Senior MLOps Engineer, you will be at the forefront of deploying, optimizing, and monitoring LLMs in production environments. Your role will involve building and maintaining scalable pipelines, ensuring low-latency inference, and implementing best practices in monitoring and observability. You will also work with state-of-the-art tools like Hugging Face and MLFlow to fine-tune models and integrate them into robust AI solutions.
Key Responsibilities
・Model Deployment & Management:
-Develop and maintain scalable pipelines for deploying LLMs, focusing on efficient, low-latency inference.
-Utilize tools like Hugging Face and MLFlow for seamless model integration and version control.
-Automate deployment processes, including model validation and continuous integration.
・Monitoring & Observability:
- Implement comprehensive monitoring frameworks to track performance and reliability of models in production.
-Use advanced observability tools to proactively detect and address performance issues.
-Deploy alerting systems to ensure rapid response to anomalies in model behavior.
・Infrastructure Optimization:
-Architect and optimize cloud and on-premise infrastructure to support large-scale LLM operations.
-Collaborate with cloud providers like AWS, Azure, and GCP to optimize costs and performance.
-Work with backend engineers to ensure smooth integration of AI models into conversational platforms.
・Collaboration & Documentation:
-Partner with AI engineers and data scientists to align on project objectives and deployment strategies.
-Document MLOps processes, best practices, and tools to maintain operational excellence.
-Provide training and support to team members on MLOps methodologies and tools.
What You’ll Need
Experience
Technical Skills:
Soft Skills:
Don’t just take our word for it
Zeals has received the LinkedIn Top Startups award twice in a row. We believe this is a testament to our growth and our ability to attract great talents–who could potentially be your colleague!
Our Tech Stack
Ready to roll up our sleeves
We obsess over bringing hospitality to everyone–be it our customers or you! You’re an individual with unique needs. So, While we can’t attract you with ping-pong tables or all-you-can-drink espresso bars, we promise you a once-in-a-lifetime experience and co-workers that you can brag about to your friends, family, or anyone you meet the next time you go out for a party! . As an employer we are ready to roll-up our sleeves and change the status quo if it means to make your experience better!
