About Us
Alectio is pioneering MLOps for Data-Centric AI: that’s what we call “DataPrepOps”.
Did you know ML scientists were spending 80% of their time on boring data preparation tasks, and that companies were wasting millions in data labeling and computational resources every year? Alectio is solving this fundamental challenge with an innovative, patented combination of active learning, reinforcement learning and meta-learning.
We’re the first full-stack, end-to-end, ML-driven DataPrepOps platform based on the belief that most models can be trained with just a fraction of the training data, and still reach the same performance.
We’re growing and are looking for a Tech Evangelist excited to make Data-Centric AI, and our technology in particular, known to the world.
About the Alectio team
We are a small yet mighty and fast-growing team on a mission to change the way that
ML is approached in order to democratize AI. We’re headquartered in Silicon Valley
(California) but are a fully remote and international team. With companies across the board trying to become more cost-efficient while being unwilling to give up on the promises of ML, our future is bright and we’re looking for fun yet hard-working people interested in joining our cause.
About this position
We are looking for an enthusiastic Social Media Manager combining great written communication skills, a deep desire to engage with people and a serious sense of humor. Your level of experience isn’t as important as your drive, hunger and ability to adapt and learn fast – knowledge and skills can be acquired, love for your job can’t.
Your mission is both incredibly simple and daunting, but the mission is worth the trouble: convince the ML community that models can be trained as accurately with significantly less data, and show them how they can benefit from the idea. The impact is tremendous, from allowing smaller companies to compete with tech giants without the need for expensive computers to reducing the carbon footprint of ML on the environment.
Your target audience will include both established ML professionals and new-comers to the field: we believe that training the next generation of ML scientists to this new way of approaching ML is the right way to ensure a lasting change of mindset. This is not just about promoting our platform: it’s about educating the ML community about what’s coming next.
Responsibilities
What we look for in a candidate
Even better if you:
Job Type: Full-time
Pay: ₹500,000.00 – ₹1,500,000.00 per year
Benefits:
Schedule:
COVID-19 considerations:
We’re a fully distributed team, this is a remote role.
Ability to commute/relocate:
Experience:
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