Machine Learning Solutions Expert
1 month ago
DataCareers - Machine Learning Engineer Role
Job Summary:
We are seeking an experienced Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning, software development, and cloud computing.
Key Responsibilities:
- Set Up & Configure ML Environments: Deploy and manage ML environments using tools like Kubernetes and Docker.
- Automation & Workflow Optimization: Develop scripts for automation and ensure reproducibility of ML experiments.
- Performance Monitoring: Conduct regular model performance reviews, data audits, and troubleshoot model-related issues.
- Cross-functional Collaboration: Work within cross-functional teams to establish ML development best practices and secure CI/CD pipelines.
- Scalable, Secure Solutions: Develop robust, secure, and scalable solutions while adhering to MOD and high-assurance compliance standards.
Requirements:
- Technical & Problem-Solving Skills: Strong analytical skills for logical solution analysis and troubleshooting.
- ML Environment Experience: Proficient with Linux/Windows, ML frameworks (e.g., TensorFlow, PyTorch), and automation tools.
- Programming Proficiency: Expertise in Python, Ruby, Perl, Java, with advanced scripting skills in Bash or PowerShell.
- Model Monitoring & Performance Evaluation: Experience with MLflow, Prometheus, and similar tools for monitoring and logging.
- DevOps & Agile Awareness: Familiar with DevOps, Agile principles, CI/CD pipelines, and version control (Git).
- Security & Compliance: Understanding of secure code practices, threat modelling, and adherence to regulatory standards for high-assurance software.
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