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The Lead MLOps Engineer will design, deploy, and maintain production-level machine learning models, focusing on MLOps initiatives such as infrastructure and automation. The role involves managing cloud-based infrastructure, building CI/CD pipelines, and mentoring junior engineers, ensuring efficient transition from development to production and overseeing model performance monitoring.

The MLOps Engineer will automate and maximize the efficiency of machine learning model deployment and maintenance. Responsibilities include creating and maintaining automation pipelines, model versioning, monitoring for model performance, and working closely with data scientists and engineers to streamline model integration into production environments.

As a Finance Manager, you will lead month-end processes, provide financial analysis, implement improvements in financial processes, and automate reporting and data gathering tasks. You will also prepare reporting packs and liaise with external auditors.

The Social Media Manager will develop and execute social media strategies to enhance Quantexa's brand visibility and audience engagement. Responsibilities include creating and managing content calendars, tracking campaign performance using data-driven insights, collaborating with marketing teams, and optimizing social media trends and campaigns.

The Marketing Operations Manager will support Field, Corporate, Partner, and Product Marketing initiatives, focusing on campaign execution, data management, and marketing automation. Responsibilities include building marketing emails, managing contact lists, optimizing lead outreach processes, and analyzing marketing performance. The role involves collaboration with various teams to ensure campaign delivery and accurate reporting.

As a Senior Data Engineer at Quantexa, you will be responsible for writing production-level data processing systems, configuring Quantexa software using various tools and cloud platforms, and collaborating with clients and internal teams to solve complex big data challenges. You will need at least 4 years of industry experience in a data engineering role and proficiency in Scala, Java, or Python.

As a Technical Lead at Quantexa, you will lead and mentor a team of junior data engineers, write code for data processing systems, configure and deploy Quantexa's software, and collaborate with solution architects and engineers on big data challenges. Your role will involve engaging with clients, articulating technical concepts, and promoting best practices.