Invisible Technologies is looking to solve the problem of bridging the gap between AI potential and production by building and deploying AI-powered solutions for clients.
Requirements
Strong Python skills and familiarity with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch
Solid understanding of statistical modeling end-to-end
Responsibilities
Collaborate with delivery leaders to scope, develop, and deploy data science solutions to operational problems through statistical/ML modeling end-to-end
Identify optimizations through deep engagement with customer problems and work to build into a stable and scalable solution.
Iterate quickly based on real-time feedback from operators and clients
Build reusable tooling and infrastructure that accelerates future model development and deployment
Other
8+ years of professional experience in data science
Strong communication skills — you can explain data decisions to non-technical stakeholders
Entrepreneurial mindset and comfort working in fast-moving, unstructured environments
Be willing to be on-call for our customers when situations arise
Ability to travel roughly 25–50 % of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients.
