Machine Learning Engineer
1 month ago
AI Innovation Leader
Our client is a pioneering machine learning observability platform that's revolutionizing the way the world interacts with AI. We're seeking a passionate AI Solutions Specialist to join our dynamic team and help bring our cutting-edge platform to every Machine Learning organization.
Key Responsibilities:
- Product Demonstrations: Deliver engaging product demos of the platform to technical stakeholders, showcasing expertise in AI solutions.
- Discovery and Engagement: Collaborate with prospects to understand their ML stack, tailoring our solution to meet their unique needs, and educating them on production ML challenges.
- Technical Objections: Develop strategies with Sales, Engineering, and Product teams to overcome any roadblocks, ensuring a seamless customer experience.
- Content Creation: Write educational content, enhance documentation, and participate in ML communities to raise awareness of production ML challenges and our platform's capabilities.
Requirements:
- Communication Skills: The ability to translate complex technical concepts into clear, persuasive messaging, with a strong focus on AI solutions.
- Curiosity and Quick Learning: Eager to dive into the technicalities of ML and develop your unique perspective, with a passion for AI innovation.
- ML Knowledge: Familiarity with tools like scikit-learn, HuggingFace, or fastai, and a solid understanding of different ML models, with a focus on AI solutions.
- AI Knowledge: Language or Vision Model experience, e.g., Computer Vision/Image Generation AI/LLMs, with a strong understanding of AI solutions.
- Experience: 2+ years in a customer-facing role (Pre-sales, Post Sales, Technical Account Management, or Consulting) with high enterprise clients, but coming from a strong Machine Learning or Data Science background.
- Technical Proficiency: Skilled in Python and Linux/Unix environments, with a focus on AI solutions.
Why Choose Us?
- Innovate and Lead: Be part of a company that's pioneering the next generation of AI, with a focus on innovation and leadership.
- Global Impact: Work with a team of industry veterans shaping the future of machine learning, with a focus on global impact.
- Career Growth: Enjoy opportunities to advance your career in a rapidly growing company, with a focus on career growth.
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