Senior Data Scientist

2 weeks ago

Phoenix, AZ, United States RIT Solutions, Inc. Full time
Role: Senior Data Scientist
Duration: 12 months
Location: Phoenix Arizona will get first preference, Remote is ok
Time zone: PST Time zone

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
  • rchitectural 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.
  • I 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.
  • I 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.

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