Are you passionate about bridging the gap between cutting-edge AI/ML technology and real-world business solutions? Do you thrive in fast-paced, innovative environments? We’re partnering with an exciting Series B funded start-up, whose platform is transforming how engineers manage Machine Learning operations, and they’re looking for a Solutions Engineer to join their growing team.
About the Company:
Our client is on a mission to simplify Machine Learning operations for engineers. Their all-in-one platform enables companies to streamline and scale ML models seamlessly, unlocking the full potential of AI. Backed by top-tier investors, this startup is expanding rapidly and needs driven individuals to help accelerate their growth and impact.
The Role:
As a Solutions Engineer, you will play a critical role in helping clients implement and optimize their Machine Learning workflows using the company’s platform. You’ll work closely with engineering teams, customers, and product managers to ensure smooth integrations, address technical challenges, and help customize solutions that align with customer goals. This is a hands-on role for someone who enjoys solving complex technical problems, while also communicating effectively with non-technical stakeholders.
Key Responsibilities:
- Collaborate with customers to understand their ML workflows and pain points, offering expert guidance on integrating the platform
- Customize and implement solutions to optimize performance and meet customer needs
- Troubleshoot and resolve technical issues during onboarding and post-deployment
- Work closely with internal teams (Engineering, Product, Sales) to shape product features based on customer feedback
- Develop and maintain documentation, demos, and best practices to support customers and partners
- Serve as a trusted advisor to clients on Machine Learning best practices, guiding them on the most efficient use of the platform
Qualifications:
- Strong proficiency in programming, particularly in Java or Python
- 3+ years of experience working in AI or Machine Learning environments
- Experience with ML model deployment, monitoring, and scaling
- Ability to troubleshoot and solve technical problems related to ML workflows
- Excellent communication skills and the ability to translate complex technical concepts to a variety of stakeholders
- Experience with cloud platforms (AWS, GCP, Azure) is a plus
Why Join?
- Work with cutting-edge AI/ML technology in a rapidly evolving industry
- Join a fast-growing company backed by top investors with a strong roadmap for success
- Fully remote flexibility with a strong culture of collaboration
- Opportunity to make a real impact, both within the company and across their customer base
If you're excited about the intersection of Machine Learning and real-world business applications, and want to be part of a team driving innovation in AI, this could be the perfect opportunity for you!