Machine Learning Engineer, IgniteTech (Remote) - $60,000/year USD

Crossover is the world’s #1 source of full-time remote jobs. Our clients offer top-tier pay for top-tier talent. We’re recruiting this role for our client, IgniteTech. Have you got what it takes?

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.

Machine Learning Engineer Key Responsibilities

• Improve support for both internal and external clients, significantly boosting the company’s innovation capacity and service quality

Basic 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

About IgniteTech

If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech!

Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility.

A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team.

We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace.

There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!

Working with Crossover

This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.

What to expect next:

• You will receive an email with a link to start your self-paced, online job application.
• Our hiring platform will guide you through a series of online “screening” assessments to check for basic job fit, job-related skills, and finally a few real-world job-specific assignments.

Important! If you do not receive an email from us:

• First, emails may take up to 15 minutes to send, refresh and check again.
• Second, check your spam and junk folders for an email from Crossover.com, mark as “Not Spam” since you will receive other emails as well.
• Third, we will send to whatever email account you indicated on the Apply form - by default, that is the email address you use as your LinkedIn username and it might be different than the one you have already checked.
• If all else fails, just reset your password by visiting https://www.crossover.com/auth/password-recovery if you already applied using LinkedIn EasyApply.

Crossover Job Code: LJ-5267-AU-Melbourn-MachineLearnin.007