Job Description
Cyber security Architect: Graduate/Post Graduate with 5+ years of experience in IT Security, Cyber or equivalent field. Solid experience in PKI architecture design and implementation. Basic Knowledge of security principles and technologies, including EPP, EDR, Encryption, firewalls, IDS/IPS, VPNs, etc. In-depth knowledge of cryptographic protocols and standards (e.g., X.509, PKCS, TLS) Experience with PKI software such as Microsoft CA, OpenSSL, or EJBCA Fair understanding of HSMs and key management practices. Fair understanding of security frameworks, standards, and regulations (e.g NIST,PCI DSS,ISO 27001) Experience in PKI security advisory or consulting roles is a plus. AI/ML Engineer: Engineering professional with 5-7 years of experience in engineering software applications (Design, development, infrastructure setup, support etc), with minimum 2-3 years of experience in AI field. Generative AI (GenAI): In-depth knowledge of Generative AI concepts, Large Language Models (LLMs), and staying current with their updates. Retrieval-Augmented Generation (RAG): Specific experience in backend development for RAG. LLM Frameworks: Hands-on experience with LLM frameworks and APIs, including Hugging Face, LangChain, and OpenAI APIs. Multi-Agent Systems: Proven experience with multi-agent AI frameworks like Crew AI, AutoGen, Anthropic, and LangGraph, with the ability to architect scalable solutions using these systems. Cloud AI Services: Experience with key cloud AI services, specifically AWS Bedrock and GCP Gemini Workspace. AWS Sagemaker: Mandatory experience building solutions and managing machine learning workloads with AWS Sagemaker. Data Platforms: Desired experience with data platforms such as Databricks, Snowflake, or Palantir. ML Lifecycle Management: Mandatory experience in the full lifecycle of machine learning, from model development and deployment to ongoing management. API Integration: Experience with REST API integration across multi-cloud and hybrid environments (AWS SDK, GCP APIs). SAP ABAP UI5: Graduate with 7-9 years of experience in ABAP Development. Minimum 4 to 6 years of experience in SAP UI5 application development. Minimum 2 to 4 years of functional and technical skills in QM processes in an industrial context or should be able to adapt to any module being an Expert. Interfaces: ALE/IDOC, RFC, Proxies Experience in SAPUI5 controls and Fiori architecture Exposure in HTML5, JAVA /J2EE, JQuery, Java Script, JSON and XML. Exposure to S4HANA Experience in SAP Odata service creation and consumption in SAP UI5. Experience in Web Services Experience in WebDynpro UI/UX design guidelines
