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Job Role:-AI / GenAI & Lakehouse Applications Engineer Job Location:- Abu Dhabi, UAE Experience:-5+ Years Role Summary Enable and operationalize production-grade AI, Generative AI, and Lakehouse Applications on Databricks, ensuring governance, scalability, security, and alignment with enterprise data intelligence standards. Key Responsibilities Implement ML lifecycle management using MLflow (experiment tracking, model registry, controlled promotion) Design and manage Feature Store assets with proper versioning, reuse, and governance Enable Generative AI workloads including prompt management, embeddings, and inference patterns Build and deploy Lakehouse Applications for governed AI and analytics consumption Implement conversational analytics solutions with secure and semantically consistent access Design scalable inference architectures for real-time and batch workloads Monitor model performance, feature drift, and data drift Ensure AI/GenAI workloads comply with governance policies and access controls Secondary Responsibilities Integrate AI workflows into CI/CD pipelines and orchestration frameworks Collaborate with Platform and DataOps teams for cost, scalability, and reliability optimization Communicate AI risks, limitations, and governance considerations to stakeholders Required Skills & Experience Strong hands-on experience with MLflow and ML lifecycle management Experience with Feature Store concepts and governed feature engineering Exposure to Generative AI concepts (LLMs, embeddings, prompt engineering) Experience deploying scalable batch and real-time inference solutions Understanding of data governance, access control, and secure AI deployment CI/CD and production AI operations experience

AI Solutions Engineer Qualifications: • Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field. • Experience: o 6+ years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions. o Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure. o Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.o Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.• Technical Skills: o Proficient in programming languages such as Python, Java, or C++. o Familiarity with data pipeline tools and frameworks o Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices. o Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.o Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.o Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc • Soft Skills: o Strong analytical and problem-solving skills. o Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. o Leadership experience and the ability to work effectively in cross-functional teams. o Detail-oriented and focused on delivering high-quality, scalable solutions. o  Data & Integration:o  Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.o  Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.Preferred Qualifications: • Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision. • Knowledge of AI ethics and bias mitigation strategies. Personal Attributes: • Ability to innovate and think critically about solving complex business problems with AI. • Strong interpersonal and communication skills for collaboration with stakeholders at all levels. • Self-motivated, proactive, and comfortable working in a dynamic and fast-paced environment.

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAEAbout youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We're building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.About youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

Role: Member of Technical Staff, Enterprise AILocation: Remote (Work from Anywhere)Job Type: Full-TimePayout: $250K - $500K/yrRole Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Enterprise AI to work on a full-time basis. The role involves designing, building, and deploying scalable AI systems for enterprise environments. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing technical infrastructure.Key Responsibilities:• Develop and optimize AI models for enterprise applications, focusing on performance, scalability, and reliability.• Design and implement machine learning pipelines to support data ingestion, processing, and model training.• Collaborate with software engineers to integrate AI components into production systems and APIs.• Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements.• Maintain documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures.Required Skills & Qualifications:• Bachelor's or advanced degree in Computer Science, Engineering, or a related quantitative field.• 5+ years of experience in software development with a focus on AI or machine learning applications.• Proficiency in Python, with experience in frameworks such as TensorFlow, PyTorch, or JAX.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model deployment and monitoring.• Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges.More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services industry, contributing to the development of cutting-edge AI technologies that drive business transformation. The position provides exposure to high-impact projects and the chance to shape the future of enterprise AI solutions.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!

Job OverviewServe as a dedicated ML Ops Engineer within the specialized Miral Destination AI team, responsible for the infrastructure, deployment, monitoring, and optimization that keep Miral Destination’s AI systems running reliably in production.Build and maintain the pipelines and platforms that take models developed by the Data Scientist – AI from experimentation to scalable, secure operation. Report to the Senior Manager AI to ensure all operational work supports the destination’s AI roadmap and delivers dependable, performant AI services for Miral Destination.Job ScopeBuild and maintain the ML infrastructure and CI/CD pipelines that support Miral Destination AI systemsDeploy models developed by the Data Scientist – AI into reliable, scalable production environmentsMonitor model performance, data drift, and system health, and resolve operational issues for Miral Destination AI servicesOptimize infrastructure for cost, latency, and scalability across Miral Destination workloadsProvide ongoing operational support and incident response for production Miral Destination AI systemsAutomate retraining, versioning, and release workflows using Databricks and MLflowReuse enterprise platforms and shared AI capabilities, aligning with the architecture and standards set by the AI & Data organizationEnsure security, governance, and compliance standards are met across all Miral Destination AI operationsCollaborate with AI, Data Engineering, BI, and Enterprise Data teams across DTD to leverage shared capabilities, reusable assets, common platforms, and best practices.Partner with enterprise platform and data engineering teams to ensure consistency of deployment, monitoring, and operational practices across DTD.Job Essential Bachelor’s or Master’s in Computer Science, Software/Data Engineering, AI, or related field3–5 years in ML Ops, DevOps, or ML/data engineeringProven experience deploying and operating ML models in productionStrong MLOps practices and scalable AI deploymentHands-on experience with Databricks, MLflow, and PythonCI/CD, containerization (Docker/Kubernetes), and infrastructure-as-codeModel monitoring, observability, and drift detectionCloud platforms – AWS, Azure, or GCPInfrastructure optimization for cost, latency, and scalability