Required • Bachelors/Master’s Degree (B.Com/BBA/M.Com/MBA) • 1 to 2 years work experience in Banking, Financial services or Insurance sectors • Having knowledge and familiar with the terminologies used in financial and accounting sectors • Basic to advanced working knowledge in MSWord and MSExcel Preferred • Good verbal and written communication skills • Strong attention to detail • Exceptional interpersonal skills with demonstrated ability to build relationships with clients and colleagues at all levels • Proactive and highly organized with an exceptional ability to multi-task • Ability to respond to requests in a timely manner • Demonstrate enthusiasm for continuous learning relevant to the role • Experience working with Audit professionals, supporting a variety of client documents such as financial statements, audit reports and engagement letters is an asset
1. AWS Organizational Governance: Service Control Policies (SCP) design, multi-account patterns, delegated admin setups. 2. Logging & Audit Foundations: Org CloudTrail, AWS Config aggregator, S3 log archive hardening, GuardDuty, Security Hub. 3. CSPM / CNAPP Operations(Wiz.io): Onboarding accounts/resources, tuning posture policies, integrating with ticketing and log routing (e.g., Cribl/SIEM). 4. Infrastructure as Code: Terraform modules, reusable patterns, policy-as-code integration, CI scanning. 5. Vulnerability & Risk Prioritization: Combining CVSS, exploit context, asset criticality, and signal sources into severity logic. 6. Automation & Scripting: Python (boto3), AWS CLI, shell tooling for validation, evidence export, reporting. 7. Identity & Access: IAM least privilege, cross-account role assumptions, permission boundaries, automation roles. 8. Observability / Data Routing (Plus): Cribl / Firehose / Kinesis or equivalent pipeline familiarity. 9. Compliance Awareness: HIPAA safeguard themes (auditability, access control, data protection, etc). 10. Metrics & Reporting: Designing & extracting KPIs (coverage %, MTTR, SLA compliance, control efficacy). Technical Skills Skill Depth Needed Context Terraform Advanced CNAPP onboarding, scanning pipeline Python (boto3) Advanced Validation & evidence automation AWS Security Services Deep Guardrails + findings pipeline SCP / IAM Policy JSON Deep Precise preventive controls CNAPP tooling Advanced Wiz configuration AWS Config / Conformance Packs Advanced Framework rule deployment Event & Log Pipelines Intermediate Cribl CI/CD (GitHub Actions, Azure DevOps, or similar) Intermediate Shift-left scanning & gating
Key / Primary Responsibilities: ' '* Design and manage CI/CD pipelines for ML model deployment. * Provision and maintain scalable infrastructure using Kubernetes, Docker, AWS Lambda, or cloud services (AWS/GCP/Azure). * Automate model deployment workflows, ensuring reproducibility and version control. * Implement monitoring, alerting, and observability for ML systems (latency, throughput, data drift, failures). * Integrate with model orchestration pipelines (Airflow, Prefect) to support retraining and inference workflows. * Manage model registry, versioning, and rollout strategies (blue/green, canary deployments). * Ensure security, compliance, and cost optimization for ML infra. * Manage vector databases (Opensearch, Pinecone, FAISS, Milvus) for GenAI retrieval pipelines. Secondary Responsibilities: * Work closely with ML Engineers and Data Scientists to understand model requirements. * Support real-time and batch inference pipelines by ensuring infra scalability and resilience. * Troubleshoot deployment and runtime issues across containers, APIs, and cloud services. * Document and standardize infrastructure-as-code practices (Terraform, Helm, etc.). * Manage GPU/accelerator infra for LLM fine-tuning or inference optimization. Key Success Metrics: Model Uptime and Reliability, Model Performance in production, Efficiency of Spark Jobs, Workflow Automation Efficiency, User Satisfaction and Internal Feedback. Professional Degree: Any B.E/B.Tech Mandatory Certification: Machine Learning or Data Science. Managerial & Leadership Responsibilities: 'Leading a team of 4 Data scientist and ML engineers to deliver on primary and secondary responsiblities..
Deep understanding of the Microsoft Dynamics AX/D365 platform & Possess skills to architect solutions that deliver results for our clients. • Interface with customer project stakeholders to elicit business and functional requirements. • Function as a subject matter expert for application design, feature optimization, availability, scalability, user experience, visualization, and data integrity. • Develop functional specification designs including definition of functional requirements and business scenarios. • Drive the effective transition of requirements to delivery and development consultants, ensuring a clear and complete understanding of the requirements for a successful delivery to end customer. • Participate and/ or lead quality management reviews including designs, prototypes, and other stages of a project to ensure requirements are fulfilled. • Engage with project teams to gather assets, best practices, and guidance from our customers to integrate and/or improve our methodologies and end customer experience. • Ability to take Functional leadership in one specific product or area of business processes. • Own, investigate and solve complex customer technical/functional issues and serve as a point of contact to the customer to assist in resolving cases. • Drive the communication with the customer to ensure the customer has confidence on problem resolution • Define and understand the customer issue by creating adequate reproduction scenarios. • Research, troubleshoot, develop, and implement a workaround (if needed) and gain agreement from customer on problem resolving. • Act as the L2/L3 (Level-2/Level-3) support to solve the customer issue • Collaborate with cross-group peers both proactively and reactively. • Proficiency in multiple business processes: o Procure-to-Pay o Order-to-Cash o General Ledger o Fixed Asset Management o Budgeting o Grants and Awards o Operations
} core experience in windchill customisation and implementation. 1 end to end implementation, coding experience as well, pure customisation.