Employer Active
We are looking for Natural Language Processing with handson experience in Python. The successful candidate will be responsible for collaborating designing developing and deploying NLP solutions.
Proven experience as an NLP Engineer or similar role
Understanding of NLP techniques for text representation semantic extraction techniques data structures and modeling.
Collaborate with data scientists and engineers to implement machine learning algorithms and models
Build and maintain scalable highperformance NLP pipelines
Stay uptodate with the latest advancements in AI/ML technologies and best practices
Work closely with stakeholders to understand requirements and deliver solutions that meet business objectives.
37 years of experience in Python development with a focus on NLP/LLM
Strong proficiency in Python and its AI/ML libraries/frameworks (e.g. TensorFlow PyTorch scikitlearn langchain)
Solid understanding of machine learning algorithms and techniques
Experience with data preprocessing feature engineering and model evaluation
Familiarity with cloud platforms (e.g. AWS Azure GCP) and distributed computing
Excellent problemsolving and analytical skills
Strong communication and collaboration abilities
Proven track record of delivering NLP solutions in production environments
Coordinating with development teams to determine application requirements.
Writing scalable code using Python programming language.
Testing and debugging applications.
Integrating userfacing elements using serverside logic.
Assessing and prioritizing client feature requests.
Integrating data storage solutions.
Coordinating with frontend developers.
Developing digital tools to monitor online traffic.
Work with the Data Scientists and Data Engineers to create production quality.
Machine Learning pipelines and solutions with an emphasis on Performance Scalability Reliability and Maintainability.
Skills:
Supervised /Unsupervised Learning.
Natural Language Processing
Fine tune LLM/GPT Model.
Tested /Enhance Prompt
Langchain/LlamaIndex or similar tool.
How to Apply: You can apply online on our careers page (). Alternatively email your CV and cover letter to
Full Time