NLP Engineer at Vennote Technologies Limited

Description

• Are you a talented NLP Engineer with strong technical skills, and the ability to innovate, multi-task, and work in an agile environment? Then, join our team for Product Development and Projects Implementations in Lagos Nigeria. This is a full-time 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 6 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 environments.

We are looking for you if you can:

• A candidate with strong understanding of NLP concepts and techniques (e.g., tokenization, stemming, lemmatization, part-of-speech tagging).
• Proficiency in programming languages like Python and experience with NLP libraries (e.g., NLTK, spaCy, Transformers).
• Experience with machine and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Knowledge of statistical modeling and data analysis techniques.
• Ability to work with large datasets and perform data cleaning and preprocessing.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Experience with chatbot development or related projects.
• Knowledge of deep learning architectures and techniques.
• Experience with cloud-based platforms for NLP tasks (e.g., AWS SageMaker, Google Cloud AI Platform).
• 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.

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).