pureIntegration is a consulting company that focuses on helping businesses with digital transformation by leveraging advanced technology solutions. They offer expertise in communications, media, technology, and energy & utilities industries. The company provides a wide range of services, including multi-cloud management, data engineering & operations, intelligent automation, integrated data intelligence, and video engineering & deployment services. Their solutions emphasize enhancing customer experience, process automation, and data-driven insights using AI and machine learning. With over two decades of experience, pureIntegration is known for successfully partnering with Fortune 500 companies to drive innovation and improve operational efficiency.
Intelligent Automation • RPA • Hybrid Cloud • Cloud Management • Artificial Intelligence
5 days ago
pureIntegration is a consulting company that focuses on helping businesses with digital transformation by leveraging advanced technology solutions. They offer expertise in communications, media, technology, and energy & utilities industries. The company provides a wide range of services, including multi-cloud management, data engineering & operations, intelligent automation, integrated data intelligence, and video engineering & deployment services. Their solutions emphasize enhancing customer experience, process automation, and data-driven insights using AI and machine learning. With over two decades of experience, pureIntegration is known for successfully partnering with Fortune 500 companies to drive innovation and improve operational efficiency.
Intelligent Automation • RPA • Hybrid Cloud • Cloud Management • Artificial Intelligence
• Design, build, and scale sophisticated high-volume server-side and front-end applications and frameworks, including those integrating AI/ML models for computer vision tasks. • Collaborate with cross-functional teams to identify opportunities where computer vision can enhance product functionality or user experience. • Develop APIs or interfaces that allow seamless interaction between front-end applications and deployed computer vision models. • Stay updated on advancements in computer vision technologies and apply state-of-the-art techniques to improve application performance. • Develop and deploy AI-driven features such as image recognition, object detection, and video analysis by embedding machine learning models into web applications. • Collaborate with machine learning engineers to preprocess data, train models, and deploy them into production environments. • Write reusable, testable, and maintainable code for both traditional application features and AI/ML pipelines. • Ensure code meets test coverage standards while validating the performance of AI/ML models using metrics like accuracy, precision, and recall. • Conduct analysis to determine integration needs for AI/ML solutions and ensure seamless interaction between back-end services and machine learning APIs. • Work with project/delivery leads to optimize deployment pipelines for AI/ML models, ensuring scalability and low-latency performance in production systems. • Monitor and refine deployed models to improve accuracy and efficiency over time using telemetry data and dashboards. • Incorporate security best practices into the development of AI/ML-enabled applications to safeguard sensitive data. • Participate in Agile ceremonies such as sprint planning, daily stand-ups, grooming sessions, and retrospectives while addressing AI/ML-specific challenges.
• 5+ years’ experience developing full-stack applications using NodeJS, Angular, JavaScript, or similar technologies. • Familiarity with Python for building or integrating machine learning models is a strong plus. • Experience consuming and creating APIs (REST, GraphQL) to integrate machine learning solutions into web applications. • Knowledge of NoSQL and SQL databases; experience managing large datasets used for training ML models is a plus. • Understanding of container-based application deployments for deploying ML systems in scalable environments. • Experience in microservices development with a focus on integrating AI/ML components into modular architectures. • Proficiency in version control tools like GitLab/GitHub and CI/CD pipelines (e.g., GitLab CI/CD, Jenkins) with experience automating model deployment workflows. • Strong problem-solving skills to debug issues in both traditional software systems and AI/ML pipelines.
• Full list of benefits linked here
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