Overview
Accepts corp to corp applications
Skills
Python
api
AWS
CI/CD
nlp
tensorflow
Job Details
AI/ML Engineer Python & FastAPI (NLP Focus)
Key Responsibilities
- Design, develop, and deploy RESTful APIs using FastAPI to enable seamless integration of AI/ML solutions.
- Build and optimize NLP models for text processing, sentiment analysis, named entity recognition, and other language-based tasks.
- Develop and implement machine learning algorithms using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Collaborate with cross-functional teams to define data requirements, collect datasets, and conduct data preprocessing and analysis.
- Leverage AWS services (e.g., S3, Lambda, SageMaker) for scalable and efficient cloud-based data solutions.
- Monitor and improve system performance to ensure the reliability and accuracy of deployed models and APIs.
- Work on innovative predictive analytics solutions.
Preferred Skills & Qualifications
- Proficiency in Python with experience in developing production-grade applications.
- Hands-on experience in Natural Language Processing (NLP) techniques and tools.
- Proven expertise in FastAPI or Similar Framework for building and managing REST APIs.
- Familiarity with at least one Machine Learning (ML) framework such as TensorFlow, PyTorch, or Scikit-learn.
- Understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts is a plus.
- Experience with AWS and its services for deploying and managing applications in the cloud.
- Knowledge of database technologies (SQL/NoSQL) and data engineering best practices.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.