Senior NLP Engineer at Vennote Technologies Limited

Vennote Technologies Limited is a well-established ICT company with experience spanning over two decades in enterprise solutions using best of breed products in very large IT deployments around the world. Vennote Technologies Limited has certified Skilled Technical resources delivering world class implementation and support services through the use of best practices.

We are recruiting to fill the position below:

Job Title: Senior NLP Engineer

Location: Lagos
Employment Type: Full-time

Description

• Are you a talented NLP Engineer with strong technical skills and the ability to innovate, multitask, and work in an agile environment? Then, join our team for Product Development and Projects Implementations in Lagos Nigeria.
• Vennote Technologies is building a next-generation Natural Language Understanding, Machine Learning and Artificial Intelligence products with a focus on Multimodal and Cross-Channel User Interfaces (phone, web, mobile, etc.)
• This is a Contract Hybrid position.
• The position requires individuals who enjoy challenges, prioritize, meet deadlines, and have a collaborative work ethic and teamwork spirit working closely with our Speech Scientists, Software Developers, Analysts, and Project Managers.

We have:

• A state-of-the-art, highly innovative Product platform that we continuously expand/improve to maintain our leadership
• A team of seasoned experts to collaborate with.
• An open mind to new technologies, methodologies, challenges, and innovation

Requirements
You are:

• Holding a Degree in Data Science, Computer Science, or similar field
• An NLP Engineer with more than 7 years of experience
• Proficient in English, both verbal and written
• Hard worker, task, deliverables, and quality oriented
• Highly knowledgeable and efficient in standards and documentation
• Self-motivated, proactive with demonstrated creative and critical thinking capabilities
• Fun to work with and be around, like we are. Passionate, enthusiastic and with a desire to meet objectives and company targets
• Quick to adjust inside a rapid-changing environment

We are looking for you if you can:

• Leverage a wide range of techniques from linguistic rules to transformers and deep neural networks in your day-to-day work.
• Gather and clean relevant datasets for training a chatbot.
• Create predefined templates to structure responses based on identified intents and entities.
• Use statistical models to generate more natural and diverse responses.
• Experience extracting meaningful features from text data, such as n-grams, part-of-speech tags, and named entities.
• Build models to identify the user's intent or purpose behind their query.
• Research, experiment with and implement innovative approaches to named entity recognition, relationship extraction entity linking and classification
• Work with customer provided data to both evaluate and continuously iterate on NLP solutions
• Produce performant and production quality robust code following the best practices adopted by the product team
• Improve (in performance, accuracy etc.) existing solution to NLP problems
• Have an agile product mentality balancing between finding solutions that deliver high precision/recall, over simpler approaches that can give value to customers in shorter intervals.
• Demonstrate passion, excitement, and real interest in what we do while being respectful of others and fun to work with
• Proven experience with:
  • Python
  • Deep Learning Frameworks (Pytorch preferably, Keras optionally) Get involved in all stages of ML lifecycle

Optional:

• Experience with chat or voice bots
• Knowledge of low code frameworks
• Experience with Application Containerization method and Application Containerization Engines (e.g. Docker)
• Experience with web frameworks for building APIs with Python (e.g. FastAPI, Flask, Sanic)

We Offer

• An attractive remuneration package
• Continuous learning/training in new technologies and products
• A great environment to work in, excel and progress professionally

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should forward their CV to: [email protected] using the Job Title as the subject of the email.

Note

• All applications will be treated with strict confidentiality.
• Only suitable candidates will be contacted.