VATION DIGITAL is looking for ServiceNow Consultant to join our dynamic team and embark on a rewarding career journey. Requirement Gathering : Collaborating with clients to understand their GRC requirements and business processes. ServiceNow Configuration : Configuring the ServiceNow GRC module to align with the organization's GRC framework and workflows. Risk Management : Assisting in the design and implementation of risk assessment and risk management processes in ServiceNow. Compliance Management : Setting up compliance processes and controls in ServiceNow to ensure adherence to industry standards and regulations. Policy Management : Implementing policy management workflows to define, approve, and communicate organizational policies. Audit Management : Creating audit management processes in ServiceNow to track and manage internal and external audits.

VATION DIGITAL is looking for SAP Archiving to join our dynamic team and embark on a rewarding career journey. System Maintenance: They ensure that the PACS infrastructure is functioning optimally. This includes monitoring system performance, troubleshooting issues, and implementing upgrades or patches as necessary. User Support: PACS admins provide technical support to radiologists, clinicians, and other healthcare professionals who use the system. They assist users with image retrieval, viewing, and interpretation, and address any usability issues or concerns. Data Security: They implement security measures to protect patient data stored within the PACS from unauthorized access, theft, or breaches. This may involve implementing encryption, access controls, and auditing mechanisms. Integration: PACS admins work to integrate the PACS with other healthcare IT systems such as Electronic Health Records (EHR) systems, Radiology Information Systems (RIS), and Hospital Information Systems (HIS) to ensure seamless data exchange and workflow integration. Training: They provide training to new users on how to effectively use the PACS system, including features such as image viewing, manipulation, and annotation. Compliance: PACS admins ensure that the PACS complies with regulatory requirements such as HIPAA (Health Insurance Portability and Accountability Act) and other relevant healthcare regulations regarding patient privacy and data security. Quality Assurance: They oversee quality assurance programs to ensure the accuracy and integrity of medical images stored within the PACS. This may involve regular testing, calibration, and maintenance of imaging equipment.

VATION DIGITAL is looking for AEM Project Manager to join our dynamic team and embark on a rewarding career journey. Coordinating with cross - discipline team members to make sure that all parties are on track with project requirements, deadlines, and schedules. Meeting with project team members to identify and resolve issues. Submitting project deliverables and ensuring that they adhere to quality standards. Preparing status reports by gathering, analyzing, and summarizing relevant information. Establishing effective project communication plans and ensuring their execution. Facilitating change requests to ensure that all parties are informed of the impacts on schedule and budget. Coordinating the development of user manuals, training materials, and other documents as needed to enable successful implementation and turnover of the process or system to the clients. Identifying and developing new opportunities with clients. Obtaining customer acceptance of project deliverables. Managing customer satisfaction within the project transition period. Conducting post - project evaluation and identifying successful and unsuccessful project elements.

VATION DIGITAL is looking for Workfront Consultant to join our dynamic team and embark on a rewarding career journey. Develop and customize Workfront workflows and integrations. Implement Workfront solutions to meet business needs. Troubleshoot and resolve issues with Workfront applications. Provide training and support to end - users. Collaborate with stakeholders to optimize Workfront usage.

VATION DIGITAL is looking for AI/ML to join our dynamic team and embark on a rewarding career journey. you will play a critical role in designing, developing, and deploying artificial intelligence and machine learning solutions that drive innovation and improve business outcomes. You will work closely with cross-functional teams to understand business needs, develop machine learning models, and create scalable, data-driven applications. Your expertise in AI/ML will enable us to harness the power of data for strategic advantage. Key Responsibilities: Solution Design: Collaborate with stakeholders to define AI/ML project requirements and objectives. Data Collection: Identify and gather relevant data from various sources, ensuring data quality and reliability. Data Preprocessing: Clean, preprocess, and transform data to prepare it for model development. Model Development: Build and train machine learning models using appropriate algorithms and techniques. Feature Engineering: Create relevant features and feature engineering pipelines to improve model performance. Model Evaluation: Evaluate model performance using appropriate metrics and validation techniques. Hyperparameter Tuning: Optimize model hyperparameters to achieve the best results. Deployment: Deploy machine learning models into production environments, ensuring scalability and reliability. Monitoring: Implement model monitoring and maintenance processes to ensure ongoing performance. Documentation: Maintain comprehensive documentation of AI/ML models, methodologies, and results. Research: Stay updated on the latest AI/ML research and technologies, and apply new insights to projects. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field (Master's degree preferred). Proven experience in AI/ML development, with a strong portfolio of projects. Proficiency in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong programming skills in languages such as Python or R. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deep learning, neural networks, and natural language processing (NLP) is a plus. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker) is a plus. Excellent problem-solving and analytical skills. Effective communication and collaboration abilities. Ability to work independently and as part of a multidisciplinary team.