We are seeking a highly skilled Site Reliability Engineer (SRE) to join our dynamic team. The ideal candidate will be keen on shaping the future of digital content valuation while working in a proactive and collaborative environment. Roles and Responsibilities Ensure the reliability, availability, and performance of our systems and services. Automate and streamline operations and processes. Monitor system health, identify bottlenecks, and proactively address potential issues. Collaborate with development teams to optimize system architecture. Conduct post-incident reviews and implement improvements. Develop and maintain infrastructure as code using tools like Terraform and Ansible. Skillset Expertise in cloud platforms (AWS, GCP, Azure). Strong experience with automation tools (Terraform, Ansible, Jenkins). Proficiency in scripting languages (Python, Bash). Solid understanding of CI/CD pipelines and monitoring tools (Prometheus, Grafana). Excellent problem-solving skills and attention to detail. Experience 5+ years of experience in a similar role, with a focus on site reliability. Qualification Bachelor?s or Master?s degree in Computer Science, Engineering, or related field.

Lead the AI team in developing and optimizing machine learning models for digital content valuation. Manage and mentor a diverse team of data scientists and machine learning engineers. Define the AI strategy and roadmap in alignment with company goals and objectives. Oversee the design, development, and deployment of AI solutions and ensure their effective integration into products and services. Collaborate with cross-functional teams to drive data-driven decision-making and implement AI-powered features. Monitor and assess the performance of AI models and pipelines, implementing improvements as needed. Stay current with advancements in AI and machine learning, and drive the adoption of best practices and new technologies. Skillset Proven experience in developing and deploying machine learning models in production environments. Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of AI methodologies, algorithms, and data-driven strategies. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP). Familiarity with natural language processing (NLP) and deep learning techniques. Excellent leadership and team management skills, with a track record of successfully leading AI projects. Experience 5+ years of experience in AI and machine learning roles, with at least 2 years in a leadership position. Qualification Bachelors or Masters degree in Data Science, Computer Science, or related field. PhD or advanced degrees.

We are seeking a highly skilled QA Engineer to join our dynamic team. The ideal candidate will be keen on shaping the future of digital content valuation while working in a proactive and collaborative environment. Roles and Responsibilities Design, develop, and execute automated test scripts. Identify, document, and track bugs. Collaborate with developers to ensure high-quality software delivery. Perform regression testing to ensure existing functionality remains unaffected. Analyze test results and provide detailed reports. Continuously improve testing strategies and processes. Skillset Strong experience with automated testing tools (Selenium, JUnit, TestNG). Proficiency in scripting languages (Python, JavaScript). Knowledge of CI/CD pipelines and integration testing. Solid understanding of software development life cycle (SDLC). Excellent analytical and problem-solving skills. Experience 4+ years of experience in software testing and quality assurance. Qualification Bachelor?s or Master?s degree in Computer Science, Engineering, or related field.