AI Engineer (NLP Focus)

We are seeking a dedicated and innovative AI Engineer with strong expertise in Natural. Language Processing (NLP) and technical analysis to join our forward-thinking team as the lead

AI Engineer and Technical Analyst. This role is perfect for someone passionate about AI, Statistics, Data Analysis, machine learning, and program language, especially in understanding and processing human languages. If you are proficient in Python and have experience with NLP libraries and tools, we invite you to help us develop and enhance our AI-driven solutions.

Responsibilities:

Design, develop, and deploy NLP solutions to meet the needs of our projects.

As Technical Analyst you will review, lead fixes, and approve all code before it is pushed for deployment.

Apply machine learning algorithms and deep learning models to NLP tasks such as text classification, sentiment analysis, named entity recognition, and text summarization.

Use Python and libraries like spaCy, NLTK, TensorFlow, or PyTorch to build and optimize NLP models.

Conduct data preprocessing and cleaning to prepare text data for analysis, including handling missing values and outliers.

Work closely with cross-functional teams to integrate AI capabilities into our products and services.

Stay abreast of developments in AI, machine learning, and NLP to ensure the application of best practices in our projects.

Manage version control using Git and contribute to the development process within an agile framework.

Core Skillsets:

❖ Programming Languages: Strong proficiency in Python.

❖ Machine Learning: Solid understanding of machine learning algorithms and their application to NLP.

❖ NLP Tools: Experience with NLP techniques such as tokenization, stemming/lemmatization, named entity recognition, sentiment analysis, and text summarization.

❖ Data Preprocessing: Ability to preprocess and clean text data effectively.

❖ Strong proficiency in technical analysis and code review for quality assurance, optimization, design & planning, architecture, and bug fixing

❖ Software Development: Experience with version control systems (Git) and familiarity with agile software development methodologies.

Qualifications:

➢ Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.

➢ 5+ years of experience in AI or machine learning, with a specific focus on NLP.

➢ Demonstrated ability to develop and deploy NLP models and systems.

➢ Excellent problem-solving skills and ability to work independently as well as in a team.

➢ Strong communication skills to effectively collaborate with team members and stakeholders.