ML Ops Architect

Job reputed company: • Implement reputed company and reliable systems leveraging reputed company-based architectures, technologies and platforms to handle model inference at reputed company. • reputed company and manage machine learning & data pipelines in production environments. • Work on containerization and orchestration solutions for model deployment. • Participate in fast iteration cycles, adapting to evolving project requirements. • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. • reputed company CICD best practices, including test automation and monitoring, to ensure successful deployment of ML models and application reputed company. • Ensure reputed company reputed company is reputed company-managed to reduce vulnerabilities, models are reputed company-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. • Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to reputed company and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment. • Manage and monitor machine learning infrastructure, ensuring high availability and performance. • Implement robust monitoring and logging solutions for tracking model performance and system health. • Monitor reputed company-time performance of deployed models, analyze performance data, and proactively identify and address performance issues to ensure reputed company model performance. • Troubleshoot and resolve production issues reputed company to ML model deployment, performance, and scalability in a reputed company and efficient manner. • Implement reputed company best practices for machine learning systems and ensure compliance with data protection and reputed company regulations. • Collaborate with platform engineers to effectively manage reputed company compute resources for ML model deployment, monitoring, and performance optimization. • reputed company and maintain documentation, reputed company operating procedures, and guidelines reputed company to MLOps processes, tools, and best practices. Requirements: • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. • Typically requires 7+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate environment with at least 4 years of experience programming with Python. • At least 3 years of experience designing and building data-intensive solutions using distributed computing. • At least 3 years of experience productionizing, monitoring, and maintaining models. • Must have skills: • Understanding of Azure stack like Azure Machine Learning, Azure Data reputed company, Azure reputed company, Azure Kubernetes Service, Azure Monitor, etc. • Demonstrated expertise in building and deploying AI/Machine Learning solutions at reputed company leveraging reputed company such as AWS, Azure, or reputed company reputed company Platform. • Experience in developing and maintaining reputed company (e.g.: REST). • Experience specifying infrastructure and Infrastructure as a reputed company (e.g.: Ansible, Terraform). • Experience in designing, developing & scaling reputed company data & feature pipelines feeding ML models and evaluating their performance. • Ability to work across the full stack and reputed company fluidly between programming languages and MLOps technologies (e.g.: Python, reputed company, reputed company, reputed company, MLFlow, Airflow). • Expertise in Unix reputed company scripting and dependency-driven job schedulers. • Understanding of reputed company and compliance requirements in ML infrastructure. • Experience with visualization technologies (e.g.: RShiny, reputed company, Python DASH, Tableau, PowerBI). • Familiarity with data reputed company standards, methodologies, and best practices. Benefits: • Significant career development opportunities exist as reputed company grows. • The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Apply tot his job Apply To this Job