The Data Safeguard team is comprised of Silicon Valley serial entrepreneurs and experienced business and technology executives. Our expertise comes from years of specific industry experience at some of the world’s top companies in the financial services, healthcare, retail, and technology segments in Data Privacy, as well as Synthetic Fraud, risk management, artificial intelligence, and machine learning.
Our global network of R&D centers empowers us to develop best-in-class software products using our amazingly innovative international talent.

Core tenets of Data Safeguard:-
- Data Safeguard is sensitive and personal data and other critical corporate data resources for our valued customers.
- Commit to delighting our team members around the globe.
- Commit to supporting and delighting our customers around the globe.
- Commit to being meaningful, transparent, supportive, and respectful while holding diversity, inclusion, and equity values at the organization's center.
- Advance workplace diversity, inclusion, and equity to support all cultures and ethnicity.

We are seeking an experienced Privacy Requirements Specialist to join our team. The ideal candidate will have 4-8 years of experience in privacy and data protection, with a strong focus on translating complex privacy regulations into practical requirements for products and services. This role will be crucial in ensuring our organization's compliance with global privacy laws and regulations, particularly GDPR. Key Responsibilities:1.Develop and maintain privacy requirements for products, services, and business processes2.Conduct Privacy Impact Assessments (PIAs) and Data Protection Impact Assessments (DPIAs)3.Collaborate with cross-functional teams to integrate privacy requirements into product development lifecycles4.Provide expert advice on privacy regulations, particularly GDPR, to stakeholders across the organization5.Review and assess third-party vendors for privacy compliance6.Develop and implement privacy-by-design and privacy-by-default strategies7.Create and maintain privacy-related documentation, including policies, procedures, and guidelines8.Assist in privacy training programs for employees9.Monitor and analyze emerging privacy laws and regulations10.Support privacy incident response and breach notification processes11.Contribute to privacy governance and risk management initiatives Required Qualifications:1.Bachelor’s degree in law, Computer Science, Information Security, or related field2. 4-8 years of experience in privacy or data protection roles3.BIG4 Experience &amp; CIPP/E certification4.In-depth knowledge of GDPR and other relevant privacy laws and regulations5.Experience in conducting PIAs and DPIAs6.Strong understanding of privacy-by-design principles7.Excellent analytical and problem-solving skills8.Superior communication skills, both written and verbal9.Ability to explain complex privacy concepts to non-technical audiences Preferred Qualifications:1.Additional privacy certifications (e.g., CIPM, CIPT)2.Experience in a similar industry or with similar products/services3.Knowledge of information security principles and practices4.Familiarity with privacy-enhancing technologies5.Experience with privacy management software6.Understanding of cloud computing and associated privacy implications Personal Attributes:1.Detail-oriented with a commitment to accuracy2.Proactive and self-motivated3.Ability to work effectively in a fast-paced, changing environment4.Strong ethical standards and integrity5.Collaborative team player with the ability to work independently when required

We are currently seeking a Microsoft Office 365 Developer to be a key contributor to our development team. Responsibilities:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design and develop custom solutions within the Office 365 environment, leveraging tools such as SharePoint Online, Power Platform, Microsoft Graph API, and Office SDK.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create and customize SharePoint sites, lists, libraries, and workflows to meet business requirements.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create, configure, and manage Exchange servers on-premises and in Azure.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement best practices for Exchange server administration, including monitoring, maintenance, and troubleshooting.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build independent/stand-alone or Microsoft Office-specific Data Loss Prevention (DLP) solutions.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Utilize Exchange DLP features and policies to safeguard sensitive information.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Manage and configure external connectors, transport rules, and Message Transfer Agents (MTAs) for effective control of email flow and security compliance.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Establish Exchange Lab environments on-premises or in Azure to simulate client environments for testing and development activities.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Ensure compatibility and reliability of developed solutions in various scenarios.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Utilize the Office 365 Admin Centre for comprehensive administration, including Azure Active Directory (AAD), Security, Compliance, and Exchange.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement and manage security and compliance features to meet organizational standards.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create applications using Office SDK, Graph SDK, and Microsoft Information Protection (MIP) SDK for enhanced functionality.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement app automation using Microsoft tools to streamline processes and improve efficiency.Qualifications:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor’s degree in computer science, Information Technology, or a related field.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proven experience as an Office 365 Developer with expertise in Exchange server management, DLP solutions, and SDK usage.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong understanding of Office 365 applications, services, and development frameworks.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficient in PowerShell scripting for automation tasks.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with security best practices and compliance standards in the Office 365 environment.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Effective communication and collaboration skills.Certifications (Preferred):·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Microsoft Certified: SharePoint Developer·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Microsoft Certified: Power Platform Developer·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Microsoft Certified: Teams Developer·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Microsoft Certified: Security, Compliance, and Identity Fundamentals

Position Summary: -Seeking an AI/ML solution architect that envisions, builds, deploys and operationalizes an end-to-end machine learning AI product.&nbsp;We are looking for a Solution architect that has worked with BERT, TensorFlow, Python, Deep Learning, NLP, Contextual Analysis and other related ML technologies.We are also looking for a candidate that has strong experience with operationalizing an AI/ML based product including scaling, optimizing and ensuring high availability while minimizing the hardware footprint.Job Description:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Work with and provide architectural and design guidance to engineering team.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build AI solutions involving the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyze tools and solutions to identify issues, errors or problems, and determine suitable debugging tools and techniques·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Apply basic debugging tools and techniques to reproduce, simplify and resolve solution errors or problems·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Communicates with customers, users or other stakeholders to gather requirements and Identify internal and external factors which may impact requirements·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Utilize specific organizational methods, tools and techniques for requirements analysis and mapping, e.g.,&nbsp;automated diagramming tools to ensure traceability of requirements·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Document requirements including customer journey, features, user stories, cross-team dependencies, separating core product build vs. integration features, outlining what is in and out of scope·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyze relevant information from stakeholders and participates in the preparation of preliminary mapping of business requirements to existing processes to identify gaps and/or opportunities·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creates sequence diagrams, data flow diagrams and business process flows·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support the implementation of cloud computing technologies working with the Dev Ops team·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyze processing issues and data anomalies and identify solutions·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyze cloud service usage to identify opportunities for optimizing the cost of cloud services·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Partner with Dev Ops team to implement and release cloud computing operations changes in alignment with cloud computing architecture&nbsp;&nbsp;&nbsp;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Demonstrates an expert level understanding of the principles, methods, processes and standards of data architecture design and modelling·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Demonstrates expert level knowledge of tools used in the design and build of data architecture design and modelling solutions·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Participate in designing blueprints on how to structure, store and utilize data·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Follow standards, processes and methodologies to develop each phase of data architecture (e.g., data manipulating processes, database technology generating processes)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Apply principles, methods, processes and standards to support the realization of atypical data architecture design and modelling requirements·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Plan processes for effective data storage, sharing and utilization within the organization·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Updates policies, standards and procedures on data management for compliance with relevant legislation·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Identify gaps, inefficiencies and potential risks in existing data management processes·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Propose enhancements or modifications to data handling procedures·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Establish processes to monitor compliance of information or data handling and access requests with approved procedures·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creates the processes and systems required to capture, retain and utilize critical data·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creates demos and proofs of concept·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Participate in the integration of emerging technologies / specific features and functions of emerging technologies&nbsp;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Identify processes that will be improved by the product of new and emerging technologies and approaches·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support the identification and selection of compatible emerging technologies and assessment of their feasibility to the organization's operations and processes·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Assist in comparing business performance before and after the implementation of emerging technologies·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support platform feature development and implementation according to established design, architectural standards and practices·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Test the effectiveness of platform architecture; highlights requirement gaps and technical challenges / issues·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Assist with security risk assessments for platform·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Identify key security risks and problems posed by new technologies and business practices&nbsp;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Provide support in defining security specifications of components and integrating appropriate security controls to minimize security breaches or lapses·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Check for an adequate level of security robustness in system designs·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Describe the flow of information through the phases of the architecture development methodology·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop an architectural proof of concept·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop a solution architecture utilizing appropriate tools, techniques and models of system components and interfaces&nbsp;Minimum Requirements:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;8+ years of experience in solving problems using deep learning methods such as recurrent neural networks (e.g., RNN, LSTM, convolutional neural nets, auto-encoders, etc) with a strong product development background ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;8+ years of experience architecting and designing software products with a focus on data ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;8+ years of experience creating deep learning architectures, designs and algorithms for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;8+ years of experience developing and testing AI/ML technologies using TensorFlow, Python and Anaconda·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;8+ years of experience with scripting languages such as Python, C++, Java·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5+ years of experience with Continuous Integration/Continuous Deployment (CI/CD) including MLOps (ML Dev Ops)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5+ years of experience using Agile methodology·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Good written and oral communications·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience working with clients to implement/deploy products in large scale customer environments&nbsp;Desired Requirements:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with Data Privacy and Synthetic Fraud products and/or applications·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5+ years of experience building large scale distributed applications·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Hands on experience with large scale Deep Learning products ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Hands on experience with building custom AI and reinforcement learning applications·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Exposure to NLP and contextual analysis using Machine Learning tools·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Extensive knowledge of cloud solutions such as Azure, GCP or AWS·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience leading design and development of applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Moderate knowledge of container technology such as DockerRoles and Responsibilities:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct hands on work architecting, designing and implementing features and functions for AI/ML products·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Partner with Engineering Leadership on designing existing and new products using AI/ML technology·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Mentor less experienced staff on AI/ML concepts and engineering practices.&nbsp;This would include providing hands on/off training and code reviews.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Partner with Customer Implementation and Support (CIS) team on architecting, designing and implementing DSG AI/ML products at customer sites·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Communicate with key stakeholders the architecture and design of AI/ML products·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Provide regular updates to the Chief Technology Officer (CTO) ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Work closely with Chief Product Officer’s team on understanding requirements and implementing product solutions using AI/ML technology·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Work closely with the Engineering and Product leadership on defining and implementing a long-term technology roadmap that aligns with the DSG’s product roadmap·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Partner with multi-cultural globally distributed teams ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build strong relationships with customers, partners and other key stakeholders.

➢Responsibilities:-• Model Development &amp; Implementation: Lead the design, development, and deployment of machine learning models and algorithms in close collaboration with the AI/ML team. • Data Pre-processing &amp; Feature Engineering: Oversee the data preparation pipeline, including pre-processing and feature engineering, ensuring the quality and efficiency of model inputs. • Model Evaluation &amp; Optimization: Conduct rigorous experiments, analyze results, and provide actionable insights to enhance model performance and efficiency. • Scalability &amp; Advanced Techniques: Apply advanced methodologies to optimize model performance when working with large-scale datasets. • AI/ML Model Integration: Spearhead the integration of AI/ML models into the product ecosystem, seamlessly embedding them within product features. • AI/ML Deployment with Django: Utilize Django for deploying machine learning models as web applications, ensuring seamless interaction between models and users. • Innovation &amp; Knowledge Sharing: Stay current with the latest advancements in AI/ML technologies, and actively contribute to the team’s knowledge base while fostering a culture of innovation. ➢ Technical Skills:- • Proficiency in Python and experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Demonstrated expertise in data pre-processing, feature engineering, and model evaluation techniques. • Strong familiarity with deep learning frameworks and neural network architectures. • Experience with Django for deploying machine learning models as web applications. ➢ Requirements:-• Educational Qualifications: BSc-IT, BCA, MCA, Bachelor’s or Master’s degree in Computer Science or IT, Data Science, or a related field. • Professional Experience: 3-5 years of hands-on experience in developing and deploying machine learning solutions.• Problem-Solving: Exceptional programming and analytical skills, with a proven ability to solve complex problems. • Collaboration &amp; Communication: Excellent communication skills, with the ability to work effectively in a collaborative team environment. • Attention to Detail &amp; Autonomy: Strong attention to detail and the ability to work autonomously in a fast-paced environment

DataSafeguard India Private Limited