Job description
This is a remote position.
Webiois a high growth conversational AI tech company that is entering the next chapter of expansion.
We are constantly dreaming of better ways for Enterprises to engage and have conversations with customers.
We take lots of interesting conversational technology and make it accessible for our customers in our Propensity Studio. The Propensity Studio helps to automate customer conversations using AI & Machine Learning based Natural Language Understanding techniques.
If you would like to be part of a fast-growing, innovative, flexible with a flexible working environment, in an environment in which you get to work on interesting problems and get recognition for your contribution, thenWebiois the place for you!
We are currently hiring a junior to mid-level Data Science Engineer with at least 2 years professional experience to work with our AI/ML team to strengthen our AI driven conversational engine.Some specifics on the role:
First 3 months
Create a framework to analyse data patterns around conversations and conversation campaigns, with this analysis help in creating candidate training sets for the Propensity Studio.
First 6 Months
Use this framework on live datasets to analyse how well the data & metadata around conversations & campaigns impacts our customers’ business goals.
After 12 Months
Improve the framework to run on live datasets, suggest optimisations and run again for continuously to make improvements in propensity classifications. Help create new datasets for specific uses cases for our customers, these include custom intents & entities.
All of this will be accomplished working with our current Machine Learning & AI technology and under the of AI and Data Science. This position is aimed at junior to mid-level engineers based in the Europe. You must have the appropriate VISA or citizenship of the country you are residing in to be considered for this job.
In addition to salary and benefit you will:
Work on leading edge AI and Machine Learning NLU based applications.
Contribute to tools, technologies, and processes on the ML team.
Work on green field and existing projects
Add to production grade highly scalable ML & AI applications
Also, also get to learn about and implement leading edge Data Science processes and techniques
Requirements
The key responsibilities of the role are to:
Improve our data science strategy and processes
Data cleansing, reporting, and improvements on our existing ML models
Use cutting edge data science techniques to improve entity collection and intent recognition
Solve general data science problems
To be successful in the role you will need:
Software Engineering Experience using Python
Experience in solving data science problems
Data science at a degree level or equivalent data science experience
Solid troubleshooting skills
Conversational written and oral communication in English
The personal qualities we will be looking for are:
Intellectually curious
Attention to detail
A team player & an independent thinker
Methodical troubleshooting skills
Passion for Data Science
and you will get bonus points if you have experience of:
Multi-lingual
Working knowledge of containerisation technology
Working knowledge of the AWS stack
Benefits
Salary: €35,000 per annum
LocationThis role is a remote role. There is the option to work remotely, in the office, or both, depending on your location. Occasional visits to our Dublin Office may be required.More About Webio At Webio,our employees are at the heart of our success and we recognise that everyone is unique and has a breadth of life experiences that positively impact our team. No matter who you are, you will be welcomed. All we ask is that our guiding principles are embraced when you come and start working with us.These 6 guiding principles are the foundation of the way we work -- Respect, No BS, Deliver, Openness, Never Stop Learning and Dream.Sounds great, but what does this mean in practice?
We strive to incorporate flexibility into our work environment wherever we can, allowing our team to accommodate family, carer, or other responsibilities.
We adapt to individual's needs and requirements wherever possible.
We strive to create an environment where our team can thrive and be their best selves most of the time (hey we are all entitled to the occasional off day).
We love our work, but we also love our life outside of work. We do not expect you to work more than your contracted hours, but we do expect you to deliver.
Everything we do is also in line with Employment Equality Acts 1998-2015 (EEA) (Ireland) or Equality Act 2010 (UK).
Webio is proud to be an equal opportunity employer and is committed to creating a diverse environment. With a diverse team of employees, we are able to grow, learn and work better together. In recruiting for our team, we welcome the contributions that individuals from all walks of life can bring in terms of education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. These are not just words but are true to the company that we are today and representative of what Webio will be in the future. If you want to get more familiar with our diversity policies, .
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.