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: NLP Engineer

Location: Lagos

Responsibilities

• Leverage a wide range of techniques from linguistic rules to transformers and deep neural networks in your day-to-day work
• 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.

Requirements

• Holding a Degree in Data Science, Computer Science, or similar field
• An NLP Engineer with more than 5 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

Experience with:

• Python
• Deep Learning Frameworks (Pytorch preferably, Keras optionally)
• Get involved in all stages of ML lifecycle
• 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)

Application Closing Date
Not Specified.