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Nlp Engineer

4 months ago

Arlington, United States FM Search Full time
Job DescriptionJob Description

NLP Predictive Analyst Engineer Job Description

Responsibilities:


Predictive Modeling:

Develop and implement predictive models using machine learning algorithms.

Analyze and interpret data to identify patterns, trends, and insights for predictive purposes.

Natural Language Processing (NLP):

Apply NLP techniques to extract meaningful information from unstructured text data.

Build and refine models for sentiment analysis, entity recognition, and document classification.

Technical Skills:

Strong programming skills in languages Python, secondary would be Java, or C++.

Familiarity with Artificial intelligence and machine learning technologies.

Feature Engineering:

Identify and engineer relevant features from structured and unstructured data.

Optimize feature selection to improve model performance and interpretability.

Data Preprocessing and Cleaning:

Clean and preprocess data to ensure its suitability for predictive modeling.

Handle missing data, outliers, and other data quality issues.

Model Evaluation and Interpretation:

Evaluate model performance using appropriate metrics and statistical methods.

Interpret model results, providing actionable insights and recommendations.

Continuous Learning and Innovation:

Stay informed about the latest advancements in AI, ML, and NLP.

Explore innovative approaches and technologies to enhance predictive analytics capabilities.

Collaboration with Stakeholders:

Collaborate with business stakeholders to understand requirements and goals.

Communicate complex analytical findings in a clear and understandable manner.

Deployment of Predictive Models:

Work with development teams to deploy predictive models into production environments.

Ensure the seamless integration of models into existing business processes.

Documentation:

Document the entire predictive modeling process, including data sources, methodology, and results.

Provide documentation for end-users and stakeholders.

Qualifications/Experience:

Proven experience as an AI/ML predictive analyst or similar role.

Strong proficiency in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

Knowledge of NLP techniques and tools.

Experience with feature engineering and model deployment.


Nice to Haves:

Familiarity with cloud-based AI/ML services (e.g., AWS SageMaker, Azure ML).

Understanding of deep learning architectures.

Experience with time-series analysis for predictive modeling.


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