Machine Learning Specialist
3 weeks ago
Title - Machine Learning Specialist
Type - Contract
Roles and Responsibilities:
- Design and execute cross-functional requirements based on business priorities and deliver impactful solutions.
- Write clean, maintainable, and testable code with a strong focus on refactoring and readability, utilizing languages such as Python or Shell scripting.
- Design and implement distributed systems and scalable architectures to support large-scale machine learning applications.
- Build, deploy, and maintain ML systems using state-of-the-art techniques and platforms, including Scikit-learn, TensorFlow, PyTorch, MLflow, and Kubeflow.
- Apply MLOps principles and CI/CD practices to streamline the lifecycle of machine learning models, ensuring seamless deployment and operational efficiency.
- Leverage expertise in machine learning engineering and data science, demonstrating knowledge of core ML concepts, algorithms, and frameworks while managing the full ML model lifecycle.
- Design and operate infrastructure for diverse ML workloads, including on-premise and cloud-based environments, with a focus on infrastructure as code and monitoring.
- Utilize hands-on experience with cloud platforms and services such as Azure, AWS, GCP, or Databricks to build and deploy robust ML pipelines and leverage managed ML services effectively.
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Machine Learning Specialist
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