Position: ML Engineer
Company: Toughbyte
Experience required: 2y
English level: intermediate

Company provides a smart enterprise platform that builds a deep language intelligence operating system for technical domains, including Insurance, Financial Services, and Life Sciences. Their platform, built by the former leadership of the MIT Media Lab, harnesses AI and Natural Language Understanding to deliver new capabilities to augment human performance. Their NLU platform is a pre-built “no-code” drag and drop solution to reduce the deployment time of applications from months to days.

Description
Now they are looking for a Machine Learning Engineer specialised in Natural Language Processing and Understanding to help grow company's current AI solutions with creative and innovative approaches. You will work with Sorcero in-house and contracted platform development team, and work with their technology team to build a ground-breaking knowledge platform.

Their app stack: HTML/CSS, Vue.js, Python, Machine Learning, data science, MLOps, Elasticsearch, Redis, various Graph databases, Cloud Storage, Cloud Composer, Cloud DataFlow, TensorFlow Extended, Vertex.

Must-have: 
Have at least three years  (two if you don’t sleep very much) of recent experience in Python
Have demonstrable experience in all aspects of the ML lifecycle (processing, training, evaluating, deploying, serving, monitoring), preferably in the NLP domain
Are curious and somewhat educated (formally or informally) about cognition and language
Have at least a year’s experience with collaborative software development practices (i.e. source control, issues, milestones, code reviews, etc)
Can work (and have worked) late and/or early under the influence of a deadline or inspiration
Can communicate and work well with non-technical or less-technical folks
Can collaborate well with team members who are located across the globe
Aren’t afraid of a little math now and then
Have just the right amount of ego

Preferred Qualifications:
MSc./PhD in Computer Science, AI or related fields from a top tier university
Expertise in one or more of the following domains: Natural Language Understanding (NLU) and Natural Language Generation (NLG), Graph Algorithms, Machine Learning.
Strong background in developing and deploying ML models (participation in Kaggle competitions is a plus).
Past participation in the technology role in a prior venture-funded startup
Self starter who can be productive from the first day
A sense of humor, and calm under pressure