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General Summary:The Sr. Digital Delivery Specialist at EMSTEEL designs, builds and delivers advanced AI and machine-learning solutions that create measurable business value across the Group’s steel and building-materials operations. The role sits within the Digital Centre of Excellence and focuses on Generative AI, Agentic AI, Computer Vision, AI Digital Twins and productionizing models through modern MLOps practices applied to industrial use cases such as process optimization and predictive maintenance. Working end-to-end from use-case discovery and experimentation to deployment, monitoring and adoption. Essential Duties and Responsibilities:Partner with business stakeholders and SMEs to identify, qualify and prioritize high-impact AI/ML use cases aligned to EMSTEEL’s strategic objectives.Design, develop and deploy Generative AI solutions (LLM-based assistants, RAG pipelines, document intelligence, summarization and content generation) tailored to enterprise needs.Build Agentic AI systems — autonomous and multi-agent workflows that reason, plan, use tools and orchestrate tasks, including Agent-to-Agent (A2A) collaboration and protocols across enterprise applications.Deliver industrial AI use cases across the value chain — process optimization, predictive maintenance, quality prediction, energy and yield optimization, and anomaly detection for steel and building-materials operations.Develop and operationalize AI Digital Twin solutions that simulate, monitor and optimize plant assets and production processes in real time.Build Computer Vision solutions for defect detection, surface-quality inspection, safety monitoring and process automation on the shop floor.Develop, validate and optimize classical and deep-learning models for prediction, optimization, anomaly detection and process control.Implement robust MLOps practices: CI/CD for models, automated pipelines, feature stores, model registry, versioning, monitoring, drift detection and retraining.Engineer scalable data and AI pipelines on Databricks and integrate solutions across the Microsoft (Azure) stack and Dataiku.Own end-to-end AI project delivery — from proof-of-concept to production — ensuring quality, security, performance and on-time delivery.Drive AI adoption by embedding solutions in downstream applications, updating SOPs, enabling users and delivering relevant training and change management.Establish responsible-AI, governance, evaluation and guardrail practices for GenAI and agentic solutions (accuracy, safety, bias, data privacy and cost control).Communicate findings, model behavior and business impact clearly to both technical and non-technical audiences.Additional Duties and ResponsibilitiesContribute to the AI reference architecture, reusable components and internal best-practice standards.Stay current with emerging GenAI/agentic frameworks, foundation models and tooling, and pilot promising innovations.Mentor junior Sr. Digital Delivery Specialists and analysts and support a culture of experimentation and continuous learning.Knowledge, Skills and/or Abilities RequiredStrong hands-on experience in machine learning, deep learning and statistical modelling using Python (and SQL).Proven expertise in Generative AI LLMs, prompt engineering, RAG, embeddings, vector databases and fine-tuning.Experience building Agentic AI solutions and multi-agent / Agent-to-Agent (A2A) systems using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar.Experience delivering industrial AI use cases process optimization, predictive maintenance and AI digital twins.Hands-on Computer Vision experience (OpenCV, PyTorch/TensorFlow, object detection, segmentation, defect/anomaly detection).Solid MLOps capability MLflow, model deployment, containerization with Docker/Kubernetes, CI/CD, GitHub / GitHub Actions and model monitoring.Proficiency with Databricks (Spark, Delta Lake, Unity Catalog, notebooks) for large-scale data and ML workloads.Working knowledge of the Microsoft/Azure AI stack (Azure Machine Learning, Azure OpenAI, Azure AI Foundry, Fabric/Synapse) and Dataiku.Ability to translate business problems into technical solutions and communicate results effectively.Strong problem-solving, stakeholder-management and cross-functional collaboration skills.Minimum Requirements (Must Have):EducationBachelor’s / Master’s in Computer Science, Data Science, AI, Statistics, Engineering, Physics or Mathematics.Experience4+ years in data science / machine learning delivery.Demonstrated delivery of GenAI or agentic solutions to production.2+ years implementing cutting-edge AI/GenAI technologies.Exposure to manufacturing, heavy industry or steel operations.Experience with responsible-AI governance and LLMOps.Training / CertificationsCertifications in Machine Learning / AI, Databricks, Microsoft Azure AI or Dataiku.

We have partnered with a leading consumer-focused business in the UAE to hire a Data Scientist. This is a role for someone who is genuinely curious about why people buy what they buy. The business sits on a rich and growing pool of customer data, and this person will turn that data into a real understanding of buyer behaviour, intent and emerging trends. The insight you produce will shape commercial decisions at the highest level, so if you want your work to actually move the needle rather than sit in a dashboard nobody opens, this is worth a look.This role suits a data scientist with strong commercial instincts who can bridge the gap between rigorous modelling and decisions the business can act on.About the role:Build models that decode buyer mentality, purchase intent and behavioural trends, turning raw customer data into insight the business can act onDevelop predictive and segmentation models that anticipate customer behaviour, identify emerging patterns and inform commercial strategyWork closely with commercial, marketing and product teams to frame the right questions and deliver answers that drive real decisionsTranslate complex analysis into clear, compelling narratives that resonate with non-technical stakeholders and senior leadershipDesign and run experiments that test hypotheses about customer behaviour and measure the impact of commercial decisionsContribute to the evolution of the data science function, bringing new techniques, tools and thinking into the team About you:5 years of experience in data science, with a track record of building models that have influenced real business decisionsStrong proficiency in Python and SQL, with hands-on experience across the full modelling lifecycle from exploration to deploymentSolid grounding in machine learning techniques including classification, clustering, regression and forecastingExperience working with customer, behavioural or transactional data to understand and predict buyer behaviourCommercially minded, with the ability to connect analysis directly to revenue, retention and growth outcomesStrong communicator who can turn technical work into insight that non-technical stakeholders understand and trustFinancial services or retail experience is strongly preferred

We are looking for an experienced AI Development Engineer to join an exciting enterprise AI transformation project with a leading consulting organization.If you have hands-on experience building GenAI applications, RAG pipelines, AI agents and enterprise AI solutions, we would love to hear from you!Key Responsibilities:Develop GenAI applications, RAG pipelines, AI agents, copilots and automation workflows.Build responsive user interfaces using React, Next.js and TypeScript.Develop APIs, data connectors and AI integrations using Python and Azure AI services.Build PoCs, MVPs and reusable AI solutions for enterprise clients.Support AI testing, performance optimization, hallucination checks and responsible AI implementation.Required Skills & Experience:5–8 years of experience in software development, AI, cloud or automation.Strong hands-on experience with Python, FastAPI, React or Next.js.Experience with Azure OpenAI, Azure AI Foundry and Azure AI Search.Strong knowledge of RAG, embeddings, vector databases, prompt engineering and AI agents.Experience with APIs, Git, CI/CD, containers and automated testing.Good communication skills and experience working in Agile teams.All applications will be treated with strict confidentiality.

🗓️ Full-time | Permanent | Start ASAP📍 UAE based🏡 Fully remoteAbout Sharon AISharon AI is an Australian neocloud, delivering trusted AI infrastructure organisations need to build, train and run AI at scale. We support customers across the full AI lifecycle, from training through to inference and agentic AI, drawing on a strong ecosystem of technology and co-location partners to deliver capability where it's needed. As the first neocloud to join NVIDIA's AI Compute Program, we're growing quickly, scaling our AI Factory platform to meet rising demand for advanced compute.The RoleAs Sharon AI continues to grow, we’re looking for a talented Senior R&D Engineer to join our R&D Engineering team, reporting to our R&D Engineering Team Lead.You’ll lead complex engineering initiatives from early experimentation through to production-ready delivery, building services, integrations, plugins and technical demonstrations that extend our AI Factories and AI Clouds. You’ll work closely with Product, Platform, Infrastructure and customer-facing teams, with exposure to cutting-edge technology at the forefront of AI infrastructure.What You’ll Be DoingLead the design and delivery of services that extend Sharon AI’s AI Factories and AI CloudsDesign and build integrations and plugins across third-party tools, frameworks and customer environmentsDevelop technical demonstrations, proof-of-concepts and MVPs to validate new ideas and showcase platform capabilitiesEvaluate emerging technologies, frameworks and architectural approachesOwn technical architecture and engineering decisions for assigned initiativesMaintain high standards across code quality, testing, security, observability and maintainabilityPartner with Product, Platform, Infrastructure and Go-to-Market teams to turn business objectives into technical solutionsImprove development practices, tooling, automation and engineering efficiencyProvide technical leadership and mentor engineers through reviews, pair programming and coachingWhat We’re Looking For6–8+ years’ software engineering experience in product, platform or R&D-focused environmentsStrong backend development experience using Python, Go or similar, with Infrastructure-as-Code such as Ansible or TerraformDeep experience with APIs, integrations, distributed systems and scalable service architecturesStrong communication and stakeholder management skillsAbility to manage competing priorities in a fast-paced environmentA proactive, collaborative and solutions-focused approachStrong analytical, troubleshooting and systems-thinking skills with excellent attention to detailA genuine interest in AI, technology and what Sharon AI is building Nice to have:Experience with AI/ML infrastructure, GPU cloud platforms or model-serving frameworksKubernetes, container orchestration and cloud-native infrastructure experienceFamiliarity with SOC 2, ISO 27001, open-source projects or technical communitiesWhy Join Sharon AI?You'll be joining a rapidly growing Australian technology business at an exciting stage of its journey, with the opportunity to work directly with the infrastructure and technology powering the next generation of AI.🏡 Hybrid working – flexibility between our office and working from home🎂 Birthday leave – take some extra time to celebrate your day🧠 Employee Assistance Program (EAP) – confidential support when you need it🤖 Exposure to AI and next-generation technology – work in one of the fastest-moving areas of technology🎓 Learning & development – we support your career growth with approved conferences, professional memberships & courses🚗 Novated leasing – a tax-effective way to finance and run your car🎁 Bounty referral program – generous rewards for successfully referring new talent to Sharon AI🏆 Employee of the month – recognition plus a $500 gift card🌏 Growing global business – be part of an Australian technology company with an expanding international footprint💡 Make an impact – join at a stage where your work can have a visible influence on how we build and grow🤝 Collaborative culture – work alongside talented people across technical, commercial and corporate teamsOur ValuesIntegrity | Innovation | Collaboration | Wellbeing | InclusionApply today and help us build the infrastructure powering the next generation of AI.Due to the high volume of applications we receive, we’re unfortunately not always able to provide individual feedback to unsuccessful candidates. We appreciate your understanding and want to assure you that every application will be reviewed with care.

Job DescriptionThe Agentic AI Developer will lead the translation of agentic research into production-grade components that enhance CRM automation and decisioning. The role requires ownership of end-to-end delivery: designing prototypes, validating behaviours against business metrics, and deploying resilient services that operate under real customer workloads. Success will be measured by increased automation coverage, demonstrable reductions in manual effort, and stable, auditable agent behaviour in production.Key ResponsibilitiesDesign and implement agentic AI features that automate CRM workflows and decision tasks.Develop reliable orchestration layers to coordinate multi-step agent actions and external integrations.Integrate multiple LLM providers and maintain model selection logic to meet latency and cost SLAs.Create evaluation suites and metrics to assess agent correctness, safety and long-term effectiveness.Build monitoring, alerting and runbooks to mitigate failures and unintended behaviours.Collaborate with product managers, platform engineers and support teams to prioritise use cases and measure business impact.Maintain development and testing infrastructure used for agent experimentation and deployment.RequirementsProven track record delivering AI or agentic prototypes into production systems.Substantial experience with Large Language Models and orchestration tooling; familiarity with major providers and fine-tuning techniques.Strong software engineering skills in Python, TypeScript or similar languages and experience building robust APIs and services.Practical experience creating evaluation frameworks, A/B tests and metrics-driven product iterations.Operational experience managing servers, CI/CD and deployment tooling for ML services.Excellent stakeholder communication with an ability to translate technical trade-offs into product decisions.

ABOUT THE ROLEIn this role, you will design and build next-generation applications powered by AI agents on the Microsoft Azure ecosystem. You'll own features end-to-end, from responsive front-end experiences to scalable back-end services and agent orchestration layers, building applications for, driven by, and consumed by AI agents - combining strong full stack fundamentals with cutting-edge agentic AI development.Please note that this is a hybrid role, requiring office attendance at least twice a week.RESPONSIBILITIESDesign and build full stack, production-grade applications based on AI agents and multi-agent architectures.Develop modern, responsive web UIs supporting conversational experiences, real-time streaming agent responses, and dashboards for monitoring agents.Build robust back-end services and APIs (REST, gRPC, MCP) in Python (FastAPI), enabling agent-to-agent and agent-to-system communication.Develop agentic workflows using frameworks such as Semantic Kernel, AutoGen, LangChain/LangGraph, or Azure AI Agent Service.Integrate LLMs via Azure OpenAI Service, including prompt engineering, function/tool calling, and RAG pipelines.Design chunking and indexing strategies for RAG pipelines (semantic chunking, hybrid search, re-ranking) to optimize retrieval quality.Build and maintain evaluation pipelines for LLM/agent outputs (e.g., RAGAS, promptfoo, or custom eval frameworks) to measure accuracy, relevance, and reliability.Design cloud-native solutions using Azure Functions, AKS, Container Apps, Cosmos DB, and Azure AI Search, including data models across SQL and NoSQL stores.Implement secure, observable, cost-optimized systems using Azure Monitor, Key Vault, Entra ID, and CI/CD pipelines with infrastructure-as-code.REQUIREMENTS8+ years of full stack engineering experience, with at least 3 years on the Azure stack.Strong back-end skills in Python, with a solid grasp of distributed systems and microservices.Hands-on experience building applications with LLMs and agent frameworks (Semantic Kernel, AutoGen, LangGraph, or similar).Strong front-end proficiency in modern frameworks, typed JavaScript, semantic HTML/CSS, and responsive, accessible UI design.Experience with Azure OpenAI, Azure AI Foundry, and vector databases (Azure AI Search, Cosmos DB vector search).Proven experience with RAG architectures, embeddings, chunking/indexing strategies, prompt orchestration, and tool/function calling.Hands-on experience with evaluation frameworks for LLM/agent outputs and defining quality metrics for AI systems.Experience designing end-to-end agentic solution architectures (multi-agent orchestration, tool/agent boundaries, error-handling and fallback strategies).Experience building real-time features (WebSockets, SignalR, SSE) for streaming AI/agent responses.Solid understanding of authentication/authorization (OAuth2, Entra ID) and DevOps practices (CI/CD, IaC, Docker/Kubernetes).SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.