Über
Rate: $65/hr • 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
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Sprachkenntnisse
- English
Hinweis für Nutzer
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