Operations Manager (Up to $12,000) #NJN

Bukit Merah $8000 to $12000  Require to have software background and experience in AI deployment Lead the evolution of intelligent, user-centric software at the intersection of AI and enterprise-scale applications. As our Software and AI Manager, you’ll architect, drive, and scale high-impact digital products, from ideation through deployment, while building and mentoring an engineering team. This is a strategic leadership role for a technologist who thrives on innovation, quality, and real-world impact.ResponsibilitiesSoftware Engineering: Develop and maintain the processes and documentation for Software Product Life CycleDesign, Implement & Deliver across The Entire App Life Cycle – Requirements, Analysis, Design, Test, Deploy & Release & SupportBe responsible for UI/UX, business rules, database access layers, external interfaces, and actual database schema designEvaluate and recommend tools, technologies and processes to ensure the highest quality product platformProduce fully functional software applications writing clean codeCoach team to:Write unit and UI tests to identify malfunctionsTroubleshoot and debug to optimise performanceDesign interfaces to improve user experienceDesign, develop and maintain real-time and batch data processing programs and scripts for the core system platformsLiaise with sales, project and product teams to plan new featuresEnsure new and legacy applications meet quality standardsResearch and suggest new software products, applications and protocolsDocument every aspect of an application or system as a reference for future maintenance and upgradesKeep up-to-date on the latest technology developmentsHire and develop training plans for the teamAI:Develop and optimise AI models by leveraging open-source and proprietary code.Build scalable AI solutions using cloud services, data pipelines, and databases.Implement NLP and LLMs and other AI frameworks.Design, develop, and deploy RESTful APIs for AI applications.Apply Retrieval Augmented Generation (RAG) techniques to enhance AI responses.Implement prompt engineering techniques such as instruction design, template-based approaches, and fine-tuning strategies.Ensure AI models comply with best practices, including CI/CD processes and test-driven development.Conduct rigorous testing and evaluation of AI models, ensuring accuracy and efficiency.Stay up-to-date with the latest AI/ML technologies and industry trends.Work closely with stakeholders to translate business needs into AI-driven solutions.Collaborate with cross-functional teams to integrate AI solutions into existing systems.RequirementsMinimum 10+ years’ experience designing and building software applicationsBSc degree in Computer Science or relevant fieldStrong technical background in European cybersecurity solutions, IP telephony and data networking industry as project administrator or other managerial positionProven work experience as a Mobile & Web Portal developer and as Team Lead in software development projectsDemonstrable portfolio of released applications on the App store or the Android marketIn-depth knowledge of programming language like Swift, Objective C and JavaHave Hybrid Mobile App design & development skillsProven track record on Developing Hybrid Mobile App InterfacesExperience on developing hybrid Mobile Applications for IOS, AndroidExperience in integrating or even developing with third-party libraries and APIs (REST, SOAP)Experience with software development lifecycle (SDLC) processesExperience in Data modelling and database designFamiliar with Agile MethodologiesFamiliar with OOP design principlesFamiliar with RDBMS DesignFamiliar with writing programming code using SQL & Python to create software, web applications and database processes; additional experience in Node.js, TypeScript, C#, or Java is a plus.Strong knowledge of machine learning concepts and deep learning, including neural networks, optimisation algorithms, and evaluation metrics.Knowledge of SQL and data manipulation for AI applications.Strong understanding of algorithms, data structures, and their applications in AI/ML.Familiarity with CI/CD processes, test-driven development, and scalable AI deployment.Hands-on experience with machine learning frameworks, such as TensorFlow and PyTorch, is a plusExperience in building AI solutions on cloud platforms (AWS, Azure, GCP) is a plusJessica Nguyen Huynh Thanh TrucCEI Reg. R23113787EA License No. 99C4599We regret that only shortlisted candidates will be notified.