Natural Language Processing (AI/ML)

We are looking for Natural Language Processing with experience in Python. The successful candidate will be responsible for collaborating, designing, developing, and deploying NLP solutions.

Requirements

• 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, high-performance, NLP  pipelines

• Stay up-to-date 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.

• 3-7 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, scikit-learn, 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 problem-solving 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 user-facing elements using server-side logic.

• Assessing and prioritizing client feature requests.

• Integrating data storage solutions.

• Coordinating with front-end 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.