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Natural Language Processing Engineer
Instasks App is a Professional Concierge Service. The app provides top-tiered professionals and clients with an online platform. Our unique approach to building an App is to give the client and the provider instant bookings and an easy process of all services: For example, client requests for quick tasks and large projects. Providers receive custom requests for their specialized skills. The app takes care of all invoicing between client and provider with a detailed invoice. And book all the confirmed jobs. We track providers' locations for the client's en route to any job.
We created a portal platform to guide you in listing your professions. The platform provides you with schedules, invoicing and credit card processing are all part of the enhanced technology. Clients will have a choice to give the providers reviews and star ratings to ensure our elite services when booking on our app. Our mission is to help all providers strive to achieve their financial and independent goals. To have more time with their families and create a brighter future for all.
The App offers opportunities to providers over the age of 18 and, by law, over the age of 21 for any tasks serving liquor. Build your future with a secure & safe platform. Be your own boss by choosing the TASKS that best suit your schedules and be available to work when you want to work. Build your income to help increase your revenue. Book tasks that are within a 15-mile radius. Our language preferred gives you better communication skills during your tasks. Our client's and providers' health & well-being are our highest priorities.
BACKGROUND CHECK POLICY: All providers accountants go through an extensive (background check) through a third party company. The certificates they receive are in place to ensure the provider and client feel safe. The document you receive from the third-party background company can be given to any job you are applying for. Our policy states all providers must go through a third party background check only after you are confirmed for a job. We request you do not go through the background check link until you are confirmed for any jobs.
ETIQUETTE TRAINING POLICY: Each provider will go through etiquette training to ensure that every provider is a friendly and well-mannered individual. We are poised to give our clients the very best in professional service. Our platform should leave no room for laxity as we work hard to bring the very best to our customers.
SKILLS AND ABILITIES: Requires working from detailed instructions and occasional independent decision-making. Ability to read, analyze and interpret documents such as safety rules, operating and maintenance instructions, or procedural manuals.
We are looking for a Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications.
NLP Engineer's responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques.
Your ultimate goal is to develop efficient self-learning NLP applications.
Responsibilities
- Study and transform data science prototypes.
- Design NLP applications.
- Select appropriately annotated datasets for Supervised Learning methods.
- Use effective text representations to transform natural language into useful features.
- Find and implement the right algorithms and tools for NLP tasks.
- Develop NLP systems according to requirements.
- Train the developed model and run evaluation experiments.
- Perform statistical analysis of results and refine models.
- Extend ML libraries and frameworks to apply in NLP tasks.
- Remain updated in the rapidly changing field of machine learning.
Requirements
- Proven experience as an NLP Engineer or similar role.
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling.
- Ability to effectively design software architecture.
- Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis etc), statistics and classification algorithms.
- Knowledge of Python, Java and R.
- Ability to write robust and testable code.
- Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
- Strong communication skills.
- An analytical mind with problem-solving abilities.
- Degree in Computer Science, Mathematics, Computational Linguistics or a similar field.
