What are the responsibilities and job description for the ML Solutions Engineer position at The Rundown AI, Inc.?
RoleWe seek an outgoing individual passionate about Machine Learning to join our team as an ML Solutions Engineer. In this role, you will be critical in differentiating SuperAnnotate to our clients by providing in-depth technical expertise and helping them understand how SuperAnnotate can solve their business problems. You are suitable for this role if you love to learn new things and want to stay updated with the most recent trends in AI.As a hands-on ML Solutions Engineer, you will work with clients worldwide to demonstrate and prototype SuperAnnotate's product integrations in domains like large language models, computer vision, natural language processing, and industries like e-commerce, sustainability, and healthcare.Your DayYou will proactively identify and address technical challenges with our sales team to ensure a smooth customer onboarding process.Provide in-depth machine learning and data expertise to support the technical relationship with SuperAnnotate’s clients, including product and solution briefings and proof-of-concept work.Prioritize and ideate new solutions with product development impacting client adoption of SuperAnnotate.Demonstrate and prototype ML workflows using SuperAnnotate with clients worldwide.Recommend integration strategies, enterprise architectures, and application infrastructure required to implement a complete solution using best practices on SuperAnnotate successfully.What Is Needed To Get Started1 years of customer-facing experience.Familiarity with Machine learning and Python.Experience delivering technical pitches.Good presentation skills.Bachelor's degree in Computer Science, Mathematics, Machine Learning, Data Science, or equivalent experience.Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Artificial Intelligence technology space.Outstanding English writing and verbal skills.Good communication skills.Preferred QualificationsMaster's degree in Computer Science, Machine Learning, Data Science, or other technically related fields.1 years of experience as a technical solutions or sales engineer in a tech environment or a customer-facing role within a Professional Services / Systems Engineering team.Experience building Machine learning solutions (e.g., data pipelines, AI systems, LLMs, MLOps, etc.).Why Join Us?Innovative Environment : Be part of a company recognized as a top AI innovator.Impactful Work : Contribute to global AI advancements and thought leadership.Growth Opportunity : A rare chance for career transitioners or those seeking an exciting new challenge.Remote / Hybrid Flexibility depending on your location.Benefits include medical, dental, vision, life insurance and 401k.Based on market data and other factors, the annual salary range for this position is $88,000-$140,000.About SuperAnnotateSuperAnnotate is a leading innovator in the field of artificial intelligence and large language models (LLMs). We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate provides core infrastructure for frontier model providers, and we’re very proud to have products that are loved by our customers, resulting in us being listed as the highest-ranked platform on G2.#J-18808-Ljbffr
Salary : $88,000 - $140,000
