À propos
Location: Basking Ridge, NJ
Duration: 6 months
• Design, develop, and implement machine learning and AI models for business applications
• Build, train, and optimize models across deep learning, NLP, computer vision, and generative AI use cases
• Work with large datasets to perform data cleaning, preprocessing, and feature engineering
• Evaluate, validate, and tune models to improve accuracy, performance, and robustness
• Deploy models into production using APIs, microservices, and cloud-native architectures
• Implement scalable and reliable model serving using Docker and Kubernetes
• Monitor model performance in production, identify drift, and retrain models as needed
• Apply MLOps practices to automate training, deployment, versioning, and monitoring workflows
• Ensure AI solutions meet scalability, security, and reliability requirements
• Collaborate with cross-functional teams including product managers, data engineers, and platform teams
• Research, evaluate, and apply the latest advancements in machine learning and AI
• Develop solutions using Python (preferred) or Java/C
• Build models using frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Process and analyze data using tools such as Pandas and Apache Spark
• Deploy and operate solutions on cloud platforms including AWS, Google Cloud, and Microsoft Azure
Compétences linguistiques
- English
Avis aux utilisateurs
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