Crossover
Machine Learning Engineer Ignitetech (Remote)
Machine Learning Engineer Ignitetech | Crossover |Worldwide
Are you a forward-thinking developer eager to harness the power of GenAIto redefine business standards and enhance productivity? Are you bored ofsolving the same customer support tickets or resolving the same bugs overand over again?
...Machine Learning Engineer Ignitetech | Crossover | Worldwide
Are you a forward-thinking developer eager to harness the power of GenAI to redefine business standards and enhance productivity? Are you bored of solving the same customer support tickets or resolving the same bugs over and over again?
The majority of companies struggle with integrating AI into existing workflows, often resulting in underutilization and disappointing outcomes. At IgniteTech, we set ourselves apart by focusing on the practical application advanced AI technologies to transform business operations. Our approach isn’t just about making incremental improvements; it’s about leveraging AI to develop, support, and optimize tools that enhance both the workflow processes and the quality of service provided to our clients.
This role IgniteTech is far from a conventional customer support or software engineer job. It is designed for those who are passionate about deploying GenAI to create robust support solutions, significantly improving productivity and customer satisfaction. Ideal for innovators who thrive in a dynamic environment, this position will place you at the helm of integrating revolutionary AI technologies.
In this role, you’ll lead the charge in experimenting with and integrating cutting-edge AI technologies. You will play a pivotal role in shaping the future of AI-driven tools, from their inception to their optimization. If you’re ready to be at the forefront of the AI revolution and transform how businesses operate, we invite you to apply today. Join us at IgniteTech, where we’re not just changing the game—we’re defining it. Let’s innovate together and make a lasting impact.
What you will be doing
- Create and improve autonomous support platforms using LLMs. This includes not only development but also troubleshooting, maintaining, and updating tools based on user feedback and support tickets. One example would be creating an assistant able to guide customers through an upgrade process.
- Test and integrate state-of-the-art AI technologies, like GPT-4 Vision and Amazon CodeWhisperer, while providing support and guidance for internal teams on how to best utilize these technologies within their workflows.
- Evaluate and enhance the performance and integration of AI solutions across different infrastructures, notably AWS, and ensures support is available for end-users experiencing issues, focusing on maintaining high service quality and satisfaction.
Key Responsibilities
- Improve support for both internal and external clients, significantly boosting the company’s innovation capacity and service quality
Candidate Requirements
- Advanced generative AI proficiency (i.e., use of multiple AI tools, ability to automate workflows and custom GPTs); if you’ve only used LLMs for research, learning, brainstorming, or content generation, that will be deemed insufficient
- At least 2 years of experience in B2B software customer support
- Proficiency in Python
- The ability to use AI to code in additional languages you are not very familiar with
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