4 Pii Jobs

As a key member of the team, you are expected to be hands-on in designing and developing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create, in line with the architecture patterns and standards. You will be expected to advocate as well as adopt approved software architecture and design patterns to build reliable, scalable solutions. Provide technical leadership to other software developers. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Basic Requirements: Bachelor's or Masters's Degree in Computer Science or equivalent. At least 6+ Years of overall experience in software development & design, building, and operating enterprise-distributed applications and/ or cloud-native systems. Extensive knowledge of software development methodologies and design patterns. 5+ years experience in any of the programming languages/frameworks such as Fast API Python, OR Golang, any of the Javascripts - Node JS, React, Javascript, or Typescript Strong background in micro-services, cloud-based architecture, deployment, and large-scale service design. Strong interpersonal skills involving business stakeholders with an ability to think on your feet.. Ability to build, manage and maintain mission critical applications on highly distributed and scalable systems such as k8 with the notion of we build, we maintain and manage. Excellent analytical and problem-solving skills. Preferred Requirements: Hands-on expertise in developing RESTful web services using technologies such as Java/Spring Boot, Golang, Python, and cloud-native technologies (OCI, AWS, GCP) Experience in DevOps practices involving containers in Kubernetes, CI/CD, Blue Green, and Canary Deployments. Experience with Micro-service architecture patterns such as but not limited to API Gateways, Event Driven & Reactive Architecture. Knowledge of compliance frameworks (PCI-DSS, PII, GDPR, SOX, ITIL, ERP). As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems.Specify, design and implement modest changes to existing software architecture to meet changing needs. Core Responsibilities include: Design, develop and implementation of software application in Oracle cloud. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including user guides, developer guides, architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. . Career Level - IC3

Title: Sr Data and MLOps Engineer Location: Hybrid (Bangalore/Chennai/Trichy) Description: • Experience within the Azure ecosystem, including Azure AI Search, Azure Storage Blob, Azure Postgres, with expertise in leveraging these tools for data processing, storage, and analytics tasks. • Proficiency in data preprocessing and cleaning large datasets efficiently using Azure Tools, Python, and other data manipulation tools. • Strong background in Data Science/MLOps, with hands-on experience in DevOps, CI/CD, Azure Cloud computing, and model monitoring. • Expertise in healthcare data standards, such as HIPAA and FHIR, with a deep understanding of sensitive data handling and data masking techniques to protect PII and PHI. • In-depth knowledge of search algorithms, indexing techniques, and retrieval models for effective information retrieval tasks. Experience with chunking techniques and working with vectors and vector databases like Pinecone. • Ability to design, develop, and maintain scalable data pipelines for processing and transforming large volumes of structured and unstructured data, ensuring performance and scalability. • Implement best practices for data storage, retrieval, and access control to maintain data integrity, security, and compliance with regulatory requirements. • Implement efficient data processing workflows to support the training and evaluation of solutions using large language models (LLMs), ensuring that models are reliable, scalable, and performant. • Proactively identify and resolve data quality issues, pipeline failures, or resource contention to minimize disruption to systems. • Experience with large language model frameworks, such as Langchain, and the ability to integrate them into data pipelines for natural language processing tasks. • Familiarity with Snowflake for data management and analytics, with the ability to work within the Snowflake ecosystem to support data processes. • Knowledge of cloud computing principles and hands-on experience with deploying, scaling, and monitoring AI solutions on platforms like Azure, AWS, and Snowflake. • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, and collaborate with cross-functional teams. • Analytical mindset with attention to detail, coupled with the ability to solve complex problems efficiently and effectively. • Knowledge of cloud cost management principles and best practices to optimize cloud resource usage and minimize costs. • Experience with ML model deployment, including testing, validation, and integration of machine learning models into production systems. • Knowledge of model versioning and management tools, such as MLflow, DVC, or Azure Machine Learning, for tracking experiments, versions, and deployments. • Model monitoring and performance optimization, including tracking model drift and addressing performance issues to ensure models remain accurate and reliable. • Automation of ML workflows through CI/CD pipelines, enabling smooth model training, testing, validation, and deployment. • Monitoring and logging of AI/ML systems post-deployment to ensure consistent reliability, scalability, and performance. • Collaboration with data scientists and engineering teams to facilitate model retraining, fine-tuning, and updating. • Familiarity with containerization technologies, like Docker and Kubernetes, for deploying and scaling machine learning models in production environments. • Ability to implement model governance practices to ensure compliance and auditability of AI/ML systems. • Understanding of model explainability and the use of tools and techniques to provide transparent insights into model behavior. Must Have: • Minimum of 10 years experience as a data engineer • Hands-on experience with Azure Cloud eco-system. • Hands-on experience using Python for data manipulation. • Deep understanding of vectors and vector databases. • Hands-on experience scaling POC to production. • Hands-on experience using tools such as Document Intelligence, Snowflake, function app. Azure AI Search • Experience working with PII/PHI • Hands-on experience working with unstructured data. Role & responsibilities

Skill required.. •Accomplish ITQM objectives in the assigned project by planning, executing and evaluating quality activities (as per service description). Accountable that assigned projects implement security and compliance with applicable laws/regulations like CSV, NVS Standards, the IMF, and project methodology Hands-on experience in Regulatory Compliance (UK DPA, SOX, PII, Data Privacy & Security etc.). Should be able to liaison with the client information security, compliance & legal teams on regulatory requirements & facilitate evidence provisioning during audits • Experience in implementation of at least 2 complete cycles of Information Security Management Systems. Good understanding of domains such as Network security, Firewall audits, VA/PT, Access Management etc. Should have experience in domains such as ISAE3402 • Strong knowledge of Qualification and Validation project development/implementation processes. • Excellent FDA GxP understanding. • Knowledge of SoX, cGMPs, FDA and EMA guidelines. • Preferred Certifications: ISO 27000 LA, CISA, CISM, CISSP, ISO 9000 • Experience in planning & conducting & leading internal audits on information security, pharma quality & compliance • Experience in audits of ITSM processes (Change Mgmt, Incident/Problem Mgmt). ITIL V3 foundation must. • Good Program/Project management skills along analytics & reporting skills with strong communication & presentation. • Ability to work with all level of clients & internal resources • Knowledgeable about Business Continuity Management & Disaster Recovery. ISO 22301 experience preferred. JD • Point of contact for client stakeholders as well as HCL Operations team for guidance & support regarding compliance control requirements and implementation into service operations • Create & Document the control compliance plans for all services in scope • Lead Compliance processes for large Pharmaceutical Client for specific geography • Manages the infrastructure Qualification of hardware/Servers. • Maintains categorization of Off-the-shelf validation categories. • Ensure that the operations run-books & SOPs are inline & map with Policies, Standards, and Guidelines relating to security, privacy, and confidentiality for the Client IT Environment. Development of Security plan & ensuring adherence for all security domains relevant for in-scope services • Develop & Plan internal audit calendar aligned to clients internal as well as external audit schedule • Execute Security audits as per the agreed upon plan with client stakeholders and work with operations teams for remediation of any gaps and non-compliances • Provide agreed upon and ad-hoc reports for audits & compliance operations. • Facilitate in-time evidence provisioning to client audit, risk & compliance teams at time of external audits • Conduct process audits for ITSM as per agreed upon process controls • Participate in client meetings and committees that investigate compliance needs and develop new and modified Policies, Standards, and Guidelines We are looking for functional consultants have extensive experience in GxP related policies & process definitions and enforcements.

Any Graduate/Postgraduate At least 2+ year of relevant experience as a Team lead and minimum experience of 4+ in Data Breach/Incident Response Experience of working with manual extraction team. Extracting data in excel and data formatting i.e., name split, address split, SSN/DOB formatting etc. Typing speed of 50 wpm or greater Experience using Excel and willingness to complete a skill assessment. Detail-oriented, with outstanding critical thinking skills Self-starter with the ability to work independently.