Metasys Technologies
Senior Data Scientist
6+Month Contract
Phoenix, Arizona (Open to remote work within the USA or Canada, if within PST time zone. Preference for Phoenix location.
Role Requirements: 8+ years of experience in Machine learning engineering /MLE , data science and data engineering, with a proven track record of delivering impactful solutions. Proven experience in AI Application & Infrastructure Optimization in terms of Capacity, Performance and Cost Architectural Optimization
- Experience in optimization of solution architectures with a focus on data security, privacy, application reliability, infrastructure scalability, and cost-efficiency for Data Science and Generative AI platforms. Scalable AI Solution Deployment
- Experience in designing and implementing scalable AI and Data Science solutions capable of handling large-scale, distributed data and compute workloads across hybrid and cloud-native environments(OCI). Performance Tuning for AI/ML and GenAI Workloads
- Experience in hyperparameter tuning and performance optimization for AI/ML and Generative AI models to maximize accuracy, efficiency, and resource utilization. AI Lifecycle Management
- Experience in robust AI pipelines for model versioning, testing, validation, and deployment, ensuring seamless integration into production environments with CI/CD best practices. AI Full stack : Experience in in any full stack /development
experience in Java, or .Net or React, Node.js, Flask/Django, REST APIs. Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Experience in EDA, data engineering, creating data pipelines and processing huge volume of data. Understanding of cloud platforms (OCI, Azure) and containerization (Docker, Kubernetes). Excellent problem-solving, communication, and stakeholder management skills. Prior experience in a customer-facing or product-oriented role. Master's in computer science, Machine Learning , Data Science, Statistics, or a related field. Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.
Role Requirements: 8+ years of experience in Machine learning engineering /MLE , data science and data engineering, with a proven track record of delivering impactful solutions. Proven experience in AI Application & Infrastructure Optimization in terms of Capacity, Performance and Cost Architectural Optimization
- Experience in optimization of solution architectures with a focus on data security, privacy, application reliability, infrastructure scalability, and cost-efficiency for Data Science and Generative AI platforms. Scalable AI Solution Deployment
- Experience in designing and implementing scalable AI and Data Science solutions capable of handling large-scale, distributed data and compute workloads across hybrid and cloud-native environments(OCI). Performance Tuning for AI/ML and GenAI Workloads
- Experience in hyperparameter tuning and performance optimization for AI/ML and Generative AI models to maximize accuracy, efficiency, and resource utilization. AI Lifecycle Management
- Experience in robust AI pipelines for model versioning, testing, validation, and deployment, ensuring seamless integration into production environments with CI/CD best practices. AI Full stack : Experience in in any full stack /development
experience in Java, or .Net or React, Node.js, Flask/Django, REST APIs. Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Experience in EDA, data engineering, creating data pipelines and processing huge volume of data. Understanding of cloud platforms (OCI, Azure) and containerization (Docker, Kubernetes). Excellent problem-solving, communication, and stakeholder management skills. Prior experience in a customer-facing or product-oriented role. Master's in computer science, Machine Learning , Data Science, Statistics, or a related field. Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.