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Job Title: Fraud Investigations Manager Experience: 5-8 YearsQualification: Chartered Accountant (CA)Reporting To: Lead – Fraud & Forensic Role Overview: Looking for a Fraud Investigations Manager to support fraud risk management, forensic reviews, investigations and governance across business operations. The role will focus on identifying fraud risks, strengthening internal controls, conducting investigations and leveraging data analytics for fraud detection and prevention. Key Responsibilities: Conduct fraud risk assessments, identify control gaps and maintain fraud risk registers. Perform data analytics to identify anomalies, red flags and potential fraud risks. Support investigations involving fraud, misconduct and whistleblower complaints. Conduct transaction testing, evidence reviews, root cause analysis and prepare investigation reports. Strengthen fraud risk management frameworks, policies and internal controls. Collaborate with Internal Audit, HR, Legal, Finance and business teams. Support fraud awareness initiatives and continuous monitoring activities. Desired Profile: CA with 5-8 years of relevant experience in Fraud Risk Management, Forensic Audit, Investigations, Internal Audit or Risk Advisory. Exposure to fraud investigations, whistleblower cases and control assessments. Experience in manufacturing, metals or consumer sectors is preferred. Strong analytical, problem-solving, report-writing and stakeholder management skills. Proficiency in Excel; exposure to Power BI, SQL or Python would be an advantage. CFE, CIA or CISA certification will be an added advantage. Willingness to travel across business locations.

Dear Candidate, We are currently looking for a skilled Designer - Data Migration to join our engineering team. We are seeking candidates with strong hands-on experience in 3D mechanical modelling, weldment structures, manufacturing drawings, and engineering documentation. Please find the detailed job description below. Job Description: Designer - Data Migration Experience: 3–5 yearsQualification: Diploma in Mechanical EngineeringKey Skill: Autodesk InventorPreferred Skills: Autodesk Vault Professional, GD&T, weldments, BOM management, and CAD data migration. Job Summary The Designer will be responsible for developing accurate 3D models, assemblies, sub-assemblies, 2D manufacturing drawings, weldment designs, and fabrication documentation using Autodesk Inventor. The role requires a strong understanding of manufacturing and machining processes, engineering drawing standards, geometric dimensioning and tolerancing (GD&T), and Bill of Materials (BOM) preparation. The candidate will collaborate with global engineering teams, product line teams, and manufacturing units to ensure high-quality engineering deliverables, drawing accuracy, design standardization, and compliance with engineering change management procedures. Key Responsibilities 1. 3D Modelling and Mechanical Design Develop detailed 3D models, assemblies, and sub-assemblies using Autodesk Inventor. Create and modify mechanical components, sheet metal parts, structural elements, and weldment assemblies. Ensure models meet design specifications, dimensional requirements, and manufacturing feasibility. Review and update existing models based on engineering changes and design feedback. 2. 2D Engineering Drawings and Drafting Generate detailed 2D manufacturing drawings from 3D models and assemblies. Prepare component drawings, assembly drawings, weldment drawings, and fabrication layouts. Apply GD&T, dimensional tolerances, geometric tolerances, and appropriate drawing conventions. Ensure drawings are accurate, complete, and suitable for manufacturing, machining, fabrication, and inspection. Follow applicable global engineering and drafting standards. 3. Weldment and Structural Design Create weldment structures, frames, fabricated assemblies, and associated engineering drawings. Apply knowledge of welding processes, weld symbols, joint configurations, and fabrication requirements. Understand structural fabrication practices and shop-floor requirements. Coordinate with manufacturing teams to address fabrication-related design issues. 4. Bill of Materials (BOM) Preparation Create, structure, and maintain Bills of Materials derived from 3D assemblies. Verify part numbers, component descriptions, quantities, assembly hierarchy, and associated metadata. Maintain accurate revision information and consistency between CAD models, drawings, and BOMs. Update BOMs in line with engineering changes and design modifications. 5. Manufacturing and Machining Support Apply a sound understanding of mechanical manufacturing and machining processes. Ensure designs and drawings are practical, manufacturable, and aligned with production requirements. Coordinate with engineering and manufacturing teams to resolve drawing discrepancies and technical issues. Incorporate feedback from fabrication and shop-floor teams to improve design quality. 6. CAD Data Management and Autodesk Vault Manage CAD models, engineering drawings, document revisions, and related design data. Use Autodesk Vault for file management, version control, and engineering documentation, with Vault Professional experience preferred. Follow established configuration management and engineering change management procedures. Maintain proper file structures, document traceability, and revision control. 7. CAD Data Migration and Standardization Support migration of CAD models, drawings, and engineering documentation from legacy systems to target platforms. Validate migrated models and drawings for accuracy, completeness, and consistency. Identify and correct data errors, missing information, and documentation inconsistencies. Standardize CAD files, metadata, naming conventions, and document structures. Ensure proper uploading, organization, and validation of engineering data in the designated systems. 8. Collaboration and Engineering Support Collaborate with global engineering teams, product line teams, and manufacturing units. Participate in design reviews and implement feedback from relevant stakeholders. Support engineering standardization, continuous improvement, and product development initiatives. Manage multiple assignments while maintaining accuracy, quality, and agreed deadlines. Required Skills and Qualifications Diploma in Mechanical Engineering. 3–5 years of relevant experience in mechanical design, drafting, and CAD modelling. Strong hands-on expertise in Autodesk Inventor, particularly 3D modelling, assemblies, sheet metal, and weldments. Good understanding of mechanical engineering drawings, GD&T, tolerances, and drafting standards. Experience in BOM creation, structuring, and maintenance. Strong knowledge of manufacturing, machining, welding, and fabrication processes. Ability to interpret engineering specifications and translate them into accurate CAD models and manufacturing drawings. Good attention to detail, problem-solving ability, and time management skills. Effective communication and teamwork skills. Ability to work independently and collaborate with global engineering teams. Preferred Skills Working knowledge of Autodesk Vault Professional. Exposure to CAD data migration, legacy drawing conversion, and CAD standardization. Experience working with fabrication drawings, weldment structures, and shop-floor manufacturing teams. Familiarity with engineering document control, revision management, and configuration management processes. Ideal Candidate Profile The ideal candidate will be a hands-on mechanical design professional with strong Autodesk Inventor skills and practical knowledge of manufacturing and fabrication requirements. The candidate should be capable of independently creating 3D models, preparing production-ready drawings, maintaining BOM accuracy, and managing engineering data with a high level of precision. Candidates with Autodesk Vault Professional experience and exposure to CAD data migration projects will have an added advantage. Work Environment and Opportunity Opportunity to work in a global engineering environment. Exposure to advanced CAD tools and engineering documentation practices. Collaboration with cross-functional engineering and manufacturing teams. Opportunities for professional development, technical learning, and continuous improvement. Interested Candidates If your experience aligns with the above requirements, please share your updated resume along with the following details: Total years of experience: Relevant experience in Autodesk Inventor: Experience with weldments and sheet metal: Experience in GD&T and BOM preparation: Experience with Autodesk Vault Professional: Experience in CAD data migration: Current location: Current CTC: Expected CTC: Notice period:

Main Duties and Responsibilities •Assists the Director of Excellence Academy in the daily management of the division to ensure smooth operations, consistent excellence in training activities and participant satisfaction. •Ensures that all training and skills development activities are strategically aligned with Castelfalfi’s mission, vision and culture. •Contributes to the design and development of training materials, including presentations, guidelines and learning tools on the company philosophy, procedures, product knowledge (hospitality and agriculture), customer care, operational excellence and leadership skills, ensuring the continuous evolution, improvement and prosperity of the Academy. •Organizes and implements the training calendar to support talent development at both individual and team level, aligning with business and operational needs. •Assists in conducting training needs assessments, measuring the effectiveness of training to ensure a return on investment. •Maintains training attendance records and other documentation related to skills development. •Organizes the training program and oversees its delivery with a hands-on approach, ensuring the timely completion of all assigned tasks. •Participates in the development of the division’s budget, as needed. •Builds and maintains positive relationships with colleagues and team members, always remaining professional and people-oriented. Required Skills •3 to 5 years of work experience in a similar position, preferably in luxury hospitality. •Degree in Human Resources Management, Occupational Psychology, Foreign Languages and/or a field related to hospitality and tourism. •Excellent knowledge of the MS Office package, including PowerPoint. •Positivity, flexibility and creativity, with excellent professional presence and communication skills. •Leadership skills with a people-focused approach, skilled in human capital management and performance-oriented •Excellent organizational and interpersonal skills: welcoming and ethically minded. •Fluency in Italian and English, both spoken and written.

We are looking for an experienced Talent Management & OD expert – Reputed MNC to drive strategic HR transformation, organisation development and talent management initiatives aligned with business objectives. The role will be responsible for strengthening organisational structures, leadership capabilities, succession planning, performance management, compensation & benefits, learning & development and HR effectiveness. The position requires a postgraduate qualification in Human Resources, Business Administration or a related discipline, with 12+ years of relevant HR experience, preferably within the automotive, auto components or manufacturing industry. The candidate should have strong hands-on experience in Talent Management and Organisation Development, including independently managing or significantly contributing to at least one complete HR transformation cycle. The role will involve working closely with the CHRO, senior leadership and business teams to drive organisation-wide people transformation initiatives. Key Responsibilities Lead and execute Organisation Development and HR transformation initiatives aligned with business strategy. Assess existing organisation structures, roles, processes and people practices to identify improvement opportunities. Drive organisation restructuring, organisation design, job architecture, role clarity and manpower planning initiatives. Develop and implement comprehensive Talent Management and Succession Planning frameworks. Drive talent reviews, 9-box assessments, high-potential identification and Individual Development Plans (IDPs). Strengthen leadership pipelines and career development frameworks for critical positions. Review and enhance Compensation & Benefits structures, salary grades, incentive mechanisms and pay-for-performance frameworks. Design and implement Learning & Development strategies, competency frameworks and leadership development programmes. Review, develop and implement HR policies, processes and guidelines in line with organisational requirements. Enhance Performance Management Systems, including goal-setting, KRAs/KPIs, performance reviews and calibration processes. Lead change management, employee engagement and culture-building initiatives to support organisational transformation. Establish HR metrics and dashboards to monitor talent, workforce, performance, attrition and organisational effectiveness. Partner with the CHRO, business heads, functional leaders and HR teams to translate business requirements into effective people interventions. Facilitate leadership discussions and workshops related to organisation design, talent reviews and transformation initiatives. Ensure successful implementation and adoption of transformed HR processes, policies and systems across the organisation. Ideal Candidate Profile Master's degree in Human Resources, Business Administration or a related discipline. 12+ years of relevant HR experience, preferably within the automotive, auto components or manufacturing industry. Strong hands-on experience in Talent Management and Organisation Development. Must have managed or significantly contributed to at least one complete HR transformation / OD cycle. Demonstrated experience across Organisation Design, Organisation Restructuring, Succession Planning, Compensation & Benefits, Learning & Development and Performance Management. Strong understanding of Talent Reviews, 9-box assessments, Hi-Potential identification, competency frameworks and leadership development. Experience in HR policy development, process transformation and change management. Ability to translate business requirements into practical HR interventions and drive end-to-end implementation. Experience working closely with CHROs, CXOs, senior management and business leadership. Strong analytical, stakeholder management, facilitation, communication and influencing skills. Comfortable working in a hands-on, transformation-oriented environment.

Key Responsibilities Design, develop, and deploy enterprise AI agents using Microsoft Foundry, Azure OpenAI, and Copilot Studio. Build agent workflows, orchestration, tool calling, guardrails, and enterprise RAG solutions. Integrate AI agents with Microsoft Teams, Microsoft 365, SharePoint, Jira, and other enterprise systems. Develop secure API integrations using REST, OpenAPI, MCP, and function calling. Implement authentication, authorization, testing, monitoring, and CI/CD deployment processes. Build reusable AI components and collaborate with international teams to deliver secure, scalable solutions. Required Qualifications & Experience 5+ years of software engineering or cloud development experience, with substantial hands-on Generative AI experience. Proven experience deploying complex enterprise AI agents into production. Strong expertise in Microsoft Foundry / Azure AI Foundry, Azure OpenAI, and Copilot Studio. Strong Python, API integration, RAG, Azure AI Search, agent orchestration, and tool-calling skills. Knowledge of Microsoft Entra ID, OAuth 2.0, managed identities, and enterprise security. Experience with Git, CI/CD, automated testing, monitoring, and production deployments. Strong problem-solving skills and excellent English communication for international collaboration.

We’re seeking a hands-on Lead Solution Architect to design and deliver enterprise AI, agentic AI, and intelligent automation solutions. You’ll help establish an AI and automation engineering hub in India, working closely with international IT, architecture, and business teams. Responsibilities Design secure, scalable AI and automation solutions from concept through production. Lead developers and establish engineering standards, reusable components, and CI/CD practices. Integrate solutions with enterprise platforms such as Microsoft 365, SAP, Jira, and Confluence. Ensure alignment with security, architecture, AI governance, and operational requirements. Support recruitment and development of the engineering team. Qualification Typically 8+ years in software engineering, solution architecture, or enterprise cloud integration. Proven experience delivering complex enterprise solutions to production. Hands-on knowledge of Azure, Generative AI, agentic AI, APIs, DevOps, and intelligent automation. Experience leading technical teams and collaborating with international stakeholders. Strong English communication skills. Preferred: Azure AI Foundry, Azure OpenAI, Copilot Studio, RAG, AI agents, Python, Power Automate, Azure AI Search, Microsoft Graph, and LLMOps.

Role Overview Our client is seeking an experienced Cloud Infrastructure Architect to lead the design and modernisation of secure, scalable and resilient cloud infrastructure across enterprise environments. The role involves defining cloud architecture, developing migration strategies, establishing infrastructure standards and optimising cloud operations across AWS, Microsoft Azure or Google Cloud. The successful candidate will collaborate with application, security, networking, DevOps and operations teams to deliver reliable and cost-effective cloud platforms aligned with business objectives. The ideal candidate will bring extensive experience in cloud infrastructure architecture, hybrid and multi-cloud environments, automation, disaster recovery, high availability and infrastructure governance. Key Roles & Responsibilities Define cloud infrastructure architecture, standards and technology roadmaps. Design scalable, secure and highly available cloud environments. Lead cloud migration, infrastructure modernisation and data centre transformation initiatives. Develop hybrid-cloud and multi-cloud architecture solutions where required. Design cloud networking, identity management, storage and compute infrastructure. Establish infrastructure-as-code and automated provisioning practices. Implement cloud security, compliance, resilience and disaster recovery controls. Drive infrastructure monitoring, observability and operational excellence. Optimise cloud costs, resource utilisation and infrastructure performance. Collaborate with application and DevOps teams to enable cloud-native delivery. Define backup, business continuity and high-availability strategies. Establish architecture governance, technical standards and reusable infrastructure patterns. Provide technical leadership and mentor cloud engineering teams. Preferred Qualifications Bachelor's or master's degree in Computer Science, IT or Engineering. 12–18+ years of IT infrastructure experience, including substantial cloud architecture experience. Proven experience designing and implementing enterprise cloud platforms. Strong knowledge of cloud networking, security, storage, compute and automation. Relevant AWS, Azure or Google Cloud architecture certifications preferred. Key Skills & Attributes Cloud architecture and infrastructure strategy. Hybrid-cloud and multi-cloud design. Infrastructure automation and standardisation. Cloud security and governance. High availability and disaster recovery. Cloud cost optimisation and capacity planning. Technical leadership and stakeholder management. Technical Skills AWS, Microsoft Azure or Google Cloud. Virtual networks, VPCs, load balancers and DNS. Compute, storage, backup and disaster recovery services. Terraform, CloudFormation or equivalent infrastructure-as-code tools. Docker and Kubernetes. CI/CD pipelines and DevOps practices. CloudWatch, Azure Monitor, Prometheus or equivalent monitoring tools. IAM, encryption, secrets management and security controls. Linux, Windows Server and enterprise networking. Reporting / Team Relationships Works closely with: CTO / Head of Infrastructure Enterprise Architecture Team Cloud Engineering and DevOps Teams Cybersecurity Team Application Development Teams IT Operations and Service Management Teams What the Role Offers This is a strategic technology leadership opportunity for a cloud professional who wants to shape the future of enterprise cloud infrastructure and digital transformation. The successful candidate will play an important role in designing secure, scalable and resilient cloud environments, driving infrastructure modernisation and developing integrated solutions across cloud engineering, security and operations. The role offers an opportunity to influence cloud strategy, lead architectural initiatives and contribute to the growth of a technology-driven organisation.

Role Overview Our client is looking for a highly experienced Principal AI Engineer to lead the engineering and production deployment of advanced AI solutions, including Generative AI applications, LLM-powered systems, AI agents and machine learning platforms. The role focuses on translating AI research and business requirements into robust, scalable and production-ready applications. The successful candidate will provide hands-on technical leadership, establish AI engineering best practices and work closely with AI architects, product teams, data scientists and software engineers to deliver high-quality AI capabilities. The ideal candidate will combine deep engineering expertise with practical experience in building, evaluating, deploying and operating AI systems at enterprise scale. Key Roles & Responsibilities Lead the engineering and implementation of enterprise AI and Generative AI applications. Develop LLM-powered solutions, RAG pipelines and agent-based workflows. Build production-ready AI services using scalable software engineering principles. Design model evaluation frameworks to measure accuracy, reliability and business effectiveness. Develop data processing, embedding generation and retrieval pipelines. Implement prompt engineering, context management and AI orchestration strategies. Integrate AI models with enterprise APIs, databases and business applications. Optimise inference performance, latency, scalability and operational costs. Establish automated testing, CI/CD and deployment practices for AI applications. Implement observability, monitoring, guardrails and failure-handling mechanisms. Collaborate with architecture, product, data and security teams. Mentor senior engineers and establish reusable AI engineering standards. Evaluate emerging AI models, frameworks and technologies for enterprise adoption. Preferred Qualifications Bachelor's or master's degree in Computer Science, AI, Machine Learning or a related field. 10–15+ years of software engineering or AI-related experience. Strong hands-on experience building and deploying AI or machine learning applications. Demonstrated expertise in Generative AI and production LLM systems. Experience leading complex technical initiatives and mentoring engineering teams. Key Skills & Attributes Advanced software engineering and system design. Generative AI and LLM application development. RAG architecture and retrieval optimisation. Model evaluation and performance tuning. Production deployment and AI observability. Technical problem-solving and engineering leadership. Ability to balance innovation with reliability and maintainability. Technical Skills Python and modern software engineering practices. PyTorch, TensorFlow or equivalent machine learning frameworks. LLM APIs and open-source language models. LangChain, LlamaIndex or equivalent orchestration frameworks. Vector databases and semantic search. REST APIs, microservices and distributed systems. Docker, Kubernetes and cloud-native deployment. CI/CD, automated testing and MLOps/LLMOps. Model monitoring, evaluation and AI safety guardrails. AWS, Azure or Google Cloud AI services. Reporting / Team Relationships Works closely with: CTO / VP of Engineering AI Architect and Enterprise Architects AI and Machine Learning Teams Data Engineering Teams Product Management Team Cloud, DevOps and Security Teams What the Role Offers This is a senior technical leadership opportunity for an AI engineering professional who wants to shape the future of Generative AI, intelligent applications and advanced AI solutions. The successful candidate will play an important role in transforming AI concepts into scalable, production-ready applications, developing advanced AI capabilities and establishing engineering practices that improve performance, reliability and business value. The role offers an opportunity to influence technical direction, mentor engineering teams and contribute to the development of innovative AI-driven products.

The Operations Manager will oversee end-to-end supply chain execution, manufacturing efficiency, warehousing, and distribution logistics. The primary objective is to maintain an uninterrupted flow of products to modern trade, general trade, and distributor networks while maximizing cost efficiency and maintaining top-tier product quality. This is a high-speed, high-stakes role requiring a data-driven leader capable of optimizing multi-channel fulfillment under tight deadlines. Key Responsibilities Supply Chain & Logistics: Manage raw material procurement, inventory levels, warehousing logistics, and final product dispatch schedules to minimize out-of-stock scenarios. [1] Production Optimization: Coordinate closely with manufacturing plant heads to align daily production outputs with regional demand forecasts. [1] Vendor & 3PL Management: Negotiate and manage contracts with third-party logistics (3PL) partners, super stockists, and material suppliers to reduce logistics expenses. [1]

JOB INFORMATION Job Title: Consultant General Surgery Department: SURGERY SHORT DESCRIPTION An excellent opportunity to join one of the most prestigious and leading hospitals in the Red Sea region of Saudi Arabia as a Consultant General Surgery. MAIN DUTIES AND RESPONSIBILITIES Provide high-quality patient care in General Surgery. Provide consultative services as requested. Supervise fellows, staff/assistant physicians, and residents. Participate in the training and teaching of residents and fellows within the specialty, as well as research activities. Participate in committees and other administrative functions as needed. Perform specialized surgical procedures within the scope of granted privileges. Follow all hospital-related policies and procedures. Perform other related duties as assigned. REQUIRED QUALIFICATIONS Education Graduate from a recognized medical school. Completion of the required training in General Surgery. Saudi, American, or European Board Certification, or an equivalent qualification. Membership and/or Fellowship status in America or Europe, or an equivalent qualification, meeting the requirements for Consultant classification. A qualification recognized by the Saudi Commission for Health Specialties (SCFHS) is mandatory. DataFlow verification is mandatory. Professional Experience Minimum of 3–4 years of post-Board/Fellowship experience in General Surgery. Registration with the Saudi Commission for Health Specialties, as applicable. Language Proficiency in English; Arabic is an advantage. References Positive professional references confirming the candidate’s clinical skills, professional competence, and ethical conduct.