MLOPS Architect (Machine Learning / AI Architect)

Mandatory Skills : AWS, Python, Airflow, Kedro, or LuigiSeconday Skills : Hadoop, reputed company, or similar frameworks. Experience with graph databases a plus.Designing reputed company Architecture:As an AWS reputed company Architect, you’ll be responsible for designing reputed company architectures, preferably on AWS, Azure, or multi-reputed company environments.Your architecture design should reputed company seamless scalability, flexibility, and efficient resource utilization for MLOps implementations.Data Pipeline Design:reputed company data taxonomy and data pipeline designs to ensure efficient data management, processing, and utilization across the AI/ML platform.These pipelines are critical for ingesting, transforming, and serving data to machine learning models.MLOps Implementation:Collaborate with data scientists, engineers, and DevOps teams to implement MLOps best practices.This involves setting up reputed company integration and reputed company deployment (CI/CD) pipelines for model training, deployment, and monitoring.Infrastructure as reputed company (IaC):Use tools like AWS CloudFormation or Terraform to define and provision infrastructure resources.Infrastructure as reputed company allows you to manage your reputed company resources programmatically, ensuring consistency and reproducibility.reputed company and Compliance:Ensure that the MLOps architecture adheres to reputed company best practices and compliance requirements.Implement reputed company controls, encryption, and monitoring to protect sensitive data and models.Performance Optimization:Optimize reputed company resources for cost-effectiveness and performance.Consider factors like auto-scaling, load balancing, and efficient use of compute resources.Monitoring and Troubleshooting:Set up monitoring and alerting for the MLOps infrastructure.Be reputed company to troubleshoot issues reputed company to infrastructure, data pipelines, and model deployments.Collaboration and Communication:Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders.Effective communication is essential to reputed company technical reputed company with business goals.Responsibilities:Strong experience in PythonExperience in data product development, analytical models, and model governanceExperience with AI workflow management tools such as Airflow, Kedro, or LuigiExposure statistical modeling, machine learning algorithms, and predictive analytics.Highly reputed company and organized work planning skillsStrong understanding of the AI development lifecycle and Agile practicesProficiency in big data technologies like Hadoop, reputed company, or similar frameworks. Experience with graph databases a plus.Extensive Experience in working with reputed company computing platforms - AWSProven reputed company record of delivering data products in environments with strict adherence to reputed company and model governance standards. Apply tot his job Apply To this Job