At Alchemie, our goal is to provide the best tools for STEM education. A big part of this goal is to make tools easy to understand and helpful for all students, including students with special needs. As a Senior AI Lead at Alchemie, you will develop tools and systems that can analyze student interactions, provide helpful hints and tips without giving away the answer, and creating useful descriptions of the objects and their relationships in our tools. As an EdTech company working in uncharted space, we don’t always know the answers, but we support experimentation a learn-by-doing attitude. If you’re looking for a place that’ll let you experiment, learn, and grow, Alchemie is the place for you.
Objective:
- Work with product design and engineering teams to create AI-powered solutions that help learners of all levels.
- Research and design innovative solutions tailored to different needs.
- Analyze learner data and teacher requirements to provide useful information to the learner.
- Keep current with technical and industry developments.
Responsibilities:
- Serve as lead data scientist and lead AI engineer to identify and integrate AI technologies into various tools and services.
- Execute experiments to help solve problems across different STEM subjects.
- Identify relevant data and analytics that can be captured in tools to support further AI research.
- Develop and deploy cloud-based and edge AI systems.
Requirements:
- Four or more years of experience in data science or AI engineering.
- Proficiency in data mining, mathematics, and statistical analysis.
- Ability to work effectively in a dynamic environment with several concurrent projects.
- Experience in various programming languages, frameworks, and methodologies including Python and Javascript.
- Experience deploying both cloud-based AI systems.
- Effectively manage a team of engineers and data scientists.
Preferred Skills:
- Advanced degree in mathematics, computer science, or related discipline.
- Ability to work hands-on at various levels in the design and implementation process.
- Deep knowledge of current trends in AI (CV, LLM, SLM, GNN, RCNN, etc.)
- Proven ability to think outside the box to find innovative solutions to complex problems.
- Experience managing and deploying AI systems in the cloud and edge services.
