Machine Learning Engineer - Natural Language Processing

What role you will play in team: You will be part of a team developing and deploying NLP-based solutions to automate processes and improve decision making.

What you will do: You will build and improve models for tasks such as text classification, sentiment analysis, and named entity recognition.

Key responsibility:

• Design, develop and deploy NLP models for various applications.
• Cleanse, preprocess and analyze large volumes of textual data.
• Experiment with and evaluate different NLP techniques and algorithms.
• Maintain and improve existing NLP models and pipelines.
• Collaborate with engineers and product managers to integrate NLP solutions.
• Stay updated on the latest advancements in the NLP field.

Required Qualification and Skills:

• Master's degree in Computer Science, Linguistics or a related field.
• 1-2 years of experience in NLP.
• Proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, transformers).
• Strong understanding of NLP concepts such as tokenization, stemming, and lemmatization.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and learning.
• Work on cutting-edge technologies and challenging projects.
• Collaborative and supportive work environment.

A Day in the Life: A day might involve data preprocessing, model training, evaluation, and collaboration with other team members.