Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
Monitor and troubleshoot data pipelines to ensure reliability and performance.
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Responsibilities
Expected to perform independently and become an SME
Required active participation/contribution in team discussions
Contribute in providing solutions to work related problems
Collaborate with cross-functional teams to understand project requirements and translate them into effective software solutions
Maintain and enhance existing software components to improve performance and reliability
Seeking a highly skilled Associate Tech Lead specialized in AI/ML to guide the design, development, and deployment of advanced analytical and machine learning solutions.
Responsibilities
Execute and own end-to-end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring.
Provide inputs for the architectural direction of machine learning platforms, ensuring scalability, security, performance, and alignment with organizational standards.
Lead the evaluation, selection, and integration of AI technologies, frameworks, and tools, including GenAI solutions.
Collaborate with product, and domain teams to translate business requirements into well-designed ML architectures and solution roadmaps.
Oversee ML model lifecycle management, including experimentation, versioning, CI/CD integration, and continuous improvement.
Requirements
Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related technical field
Lead full lifecycle development of backend features for Cortex XSOAR on-prem and SaaS, designing and implementing robust backend services, integrating AI tools, and supporting production issues.
Compensation
$147,000.00 - $237,500.00/yr
Responsibilities
Lead full lifecycle development of backend features for Cortex XSOAR on-prem and SaaS
Design and implement robust backend services
Integrate with other product components
Provide real-time mitigation and solutions to production issues
Engage with customers and support teams to troubleshoot and fix issues
The Principal Software Engineer serves as a technical expert, lead, and architect on large and complex projects, designing and maintaining complex web-based application systems.
Responsibilities
serving as a technical expert, lead, and architect on large and complex projects
designing, developing, testing, implementing, and maintaining complex web-based application systems, such as user interface, e-commerce applications, and integrations
troubleshooting and solving complicated software issues
researching technical problems and suggesting improvements for web applications
analyzing and integrating new web products and technologies with existing web applications to improve the application functionality
Senior backend engineering role focused on architecting infrastructure for autonomous coding agents, distributed systems, and reliability for non-deterministic systems.
Seeking a highly skilled Associate Tech Lead specialized in AI/ML to guide the design, development, and deployment of advanced analytical and machine learning solutions.
Compensation
We offer competitive compensation and comprehensive benefits and programs.
Responsibilities
Execute and own end-to-end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring.
Provide inputs for the architectural direction of machine learning platforms, ensuring scalability, security, performance, and alignment with organizational standards.
Lead the evaluation, selection, and integration of AI technologies, frameworks, and tools, including GenAI solutions.
Collaborate with product, and domain teams to translate business requirements into well-designed ML architectures and solution roadmaps.
Oversee ML model lifecycle management, including experimentation, versioning, CI/CD integration, and continuous improvement.
Requirements
Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related technical field
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