AI/ML Developer
Quantum Technologies
Richmond, VA, United States
5 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Compensation
$166,400.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Artificial Neural Networks
Microsoft Azure
Software Code Optimization
Computer Programming
Data Cleansing
Python (Programming Language)
Machine Learning
NumPy
Tensorflow
+13 more
Unstructured Data
Google Cloud
Feature Engineering
Pytorch
Deep Learning
Generative AI
Pandas
Scikit Learn
Kubernetes
Machine Learning Operations
Restful APIs
Docker
Microservices
Job description
We are seeking an experienced AI/ML Developer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong Python programming skills, machine learning expertise, deep learning knowledge, and experience building scalable AI applications., * Design, develop, and implement AI/ML models and algorithms.
- Build, train, test, and deploy machine learning models.
- Develop predictive models using structured and unstructured data.
- Work with deep learning frameworks and neural networks.
- Perform data preprocessing, feature engineering, and model optimization.
- Develop and integrate AI solutions using APIs and microservices.
- Implement model monitoring, evaluation, and performance improvements.
- Collaborate with data scientists, engineers, and business teams.
- Deploy AI/ML models on cloud platforms.
- Maintain technical documentation and follow MLOps best practices.
Requirements
- Strong programming experience in Python.
- Hands-on experience with Machine Learning algorithms.
- Knowledge of Deep Learning and Neural Networks.
- Experience with TensorFlow, PyTorch, or Scikit-learn.
- Strong knowledge of NumPy, Pandas, and data preprocessing.
- Experience with NLP and Generative AI is preferred.
- Knowledge of REST APIs and Microservices.
- Experience with AWS, Azure, or Google Cloud Platform.
- Understanding of Docker, Kubernetes, and MLOps.
- Strong analytical and problem-solving skills.
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