SR Machine Learning OPS Specialist

In my capacity as an ML Ops Specialist, I will take on the following responsibilities: - Model Deployment and Management: - Develop and implement scalable ML deployment strategies, ensuring models are production-ready. - Automate the deployment process of machine learning models using CI/CD pipelines. - Monitor the performance of models in production and optimize them for performance and accuracy. - Manage the lifecycle of machine learning models, including versioning, testing, and rollback strategies. - Infrastructure and Tools: - Design and maintain robust ML infrastructure, including data pipelines, model serving infrastructure, and monitoring tools. - Implement and manage ML platforms and tools to support the end-to-end ML workflow. - Ensure the infrastructure can handle large-scale data processing and model training workloads. - Collaboration and Communication: - Work closely with data scientists, engineers, and IT teams to ensure seamless integration of ML models into production systems. - Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. - Provide technical guidance and support to team members on ML Ops best practices. - Monitoring and Optimization: - Implement monitoring and alerting systems to track the performance and health of ML models. - Continuously optimize models and infrastructure for performance, cost, and scalability. - Analyze and resolve production issues related to ML models and pipelines. - Security and Compliance: - Ensure compliance with data privacy and security regulations in all ML operations. - Implement security best practices in ML model deployment and data handling. - Maintain documentation and SOPs for ML Ops processes and procedures.