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aba therapist applied behavior analysis therapist

Georgetown Early Intervention Center

Job SummaryThe ABA Therapist provides one-on-one therapy to children with Autism Spectrum Disorder (ASD) and other developmental or behavioral challenges. The therapist implements individualized treatment plans, collects behavioral data, and supports the development of communication, social, academic, and daily living skills through evidence-based ABA techniques.Key Responsibilities<ul><li>Conduct individual ABA therapy sessions according to treatment plans.</li><li>Implement behavior intervention programs under the supervision of a BCBA/IBA or Clinical Supervisor.</li><li>Teach communication, social, play, self-help, and adaptive skills.</li><li>Use positive reinforcement and behavior management techniques.</li><li>Collect, record, and maintain accurate session data and progress notes.</li><li>Prepare and organize therapy materials.</li><li>Collaborate with parents, caregivers, teachers, and multidisciplinary teams.</li><li>Provide regular feedback regarding client progress.</li><li>Maintain confidentiality and adhere to professional and ethical standards.</li><li>Participate in team meetings, training sessions, and continuing education activities.</li></ul>Qualifications<ul><li>Bachelor's degree in Psychology, Special Education, Education, Behavioral Sciences, or a related field.</li><li>ABA certification or Registered Behavior Technician (RBT) certification preferred.</li><li>Experience working with children with Autism Spectrum Disorder or developmental delays.</li><li>CDA License or eligibility for licensure in Dubai is preferred.</li><li>Strong communication, documentation, and interpersonal skills.</li><li>Patience, empathy, and the ability to work effectively with children and families.</li></ul>Skills Required<ul><li>Knowledge of Applied Behavior Analysis principles.</li><li>Data collection and reporting skills.</li><li>Time management and organizational abilities.</li><li>Ability to work independently and as part of a multidisciplinary team.</li><li>Professionalism and cultural sensitivity. Strong observation and problem-solving skills.</li></ul>Work Location: In person

ABA Therapist (Applied Behavior Analysis Therapist)

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.
We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.
This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.
Responsibilities
Backend Architecture &amp; System Ownership<ul><li>
Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.</li><li>
Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.</li><li>
Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.</li><li>
Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.</li><li>
Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.</li><li>
Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.</li><li>
Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.</li></ul>
AI/ML Integration &amp; Model Workflows<ul><li>
Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.</li><li>
Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.</li><li>
Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.</li></ul>
Model Serving &amp; Performance Optimization<ul><li>
Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.</li><li>
Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.</li><li>
Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.</li><li>
Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.</li><li>
Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.</li><li>
Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing &amp; Data Retrieval</li></ul>
Infrastructure, Reliability &amp; Observability<ul><li>
Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.</li><li>
Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.</li></ul>
Collaboration &amp; Engineering Leadership<ul><li>
Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.</li><li>
Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.</li><li>
Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.</li><li>
Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.</li></ul> 
Education &amp; Experience<ul><li>
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.</li><li>
5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.</li><li>
Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.</li><li>
3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.</li><li>
Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.</li><li>
Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.</li><li>
Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.</li><li>
Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.</li></ul>
Technical Skills<ul><li>
Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures</li><li>
Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.</li><li>
Strong experience with SQL/NoSQL databases, schema design, and data modeling</li><li>
Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems</li><li>
Experience deploying production systems on AWS, GCP, or similar cloud platforms</li><li>
Knowledge of infrastructure patterns (compute, storage, networking, observability)</li></ul>
AI/ML Integration<ul><li>
Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.</li><li>
Experience optimizing inference workflows for latency, throughput, reliability, and cost.</li><li>
Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.</li><li>
Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.</li><li>
Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.</li><li>
Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.</li></ul>
System Design &amp; Architecture<ul><li>
Preferred understanding of distributed systems, scaling patterns, and performance engineering</li><li>
Ability to design modular, maintainable, and efficient architectures</li><li>
Experience with API versioning, modularization, and designing long-running workflows</li><li>
Understanding of performance bottlenecks and low-latency backend patterns</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Machine Learning Systems Engineer

Hermès

<div>
 
 Job Title: D
 
 
 ata analyst
 
 
 
 
 REPORTS TO: SENIOR RETAIL EXCELLENCE MANAGER
 
 
 
 
 Location: DUBAI
 
 
 
 
 Organisation unit: Hermes middle east
 
 
 
 
 GENERAL MISSION
 
 
 
 Herm&egrave;s is looking for a Data Analyst to strengthen its understanding of both clients and business dynamics across our 6 stores in the Middle East region. The role combines customer‑centric analyses with deep business performance insights to support teams in elevating service, client experience, and retail excellence. By ensuring high data quality and transforming complex information into actionable recommendations, the Data Analyst will help the Maison make informed decisions that advance both customer knowledge and operational performance.
 
 
 
 Responsibilities
 
 
 
 
 Dashboards creation &amp; maintaining
 
 
 
 <ul>
 <li>
 Design and produce dashboards/reports to provide in-depth analysis of business performance and clients&rsquo; behaviour (e.g. client journey, spending patterns)
 </li>
 <li>
 Collaborate with Group and Europe Data Analytics Team to enrich the current dashboards with more insights
 </li>
 <li>
 Ensure the accuracy, consistency, and reliability of data presented in all dashboards and reports, implementing robust data validation processes.
 </li>
 <li>
 Proactively gather and translate evolving business requirements from various stakeholders into actionable specifications for new dashboard development and enhancements
 
 
 </li>
 </ul>
 
 CUSTOMER DATA QUALITY
 
 
 
 <ul>
 <li>
 Improve the customer database quality and animate the retail teams to share best practices in Customer data capture
 </li>
 <li>
 Ensure regular monitoring of the customer database by developing dedicated analyses and Reports
 </li>
 <li>
 Support and deploy Group projects locally, adapting to specific market needs
 </li>
 <li>
 Develop assets to train sales teams on customer data management
 
 
 </li>
 </ul>
 
 Customer Knowledge
 
 
 
 <ul>
 <li>
 Be responsible of customer knowledge for the subsidiary by sharing retail and customer orientated insights
 </li>
 <li>
 Analyse customer patterns and retail performances to support strategic decisions
 </li>
 <li>
 Proactively monitor and identify emerging client behaviors, market trends, and competitive landscapes to anticipate future opportunities and challenges
 </li>
 <li>
 Support customer targeting initiatives with CRM analyses and provide detailed customer profile analyses
 </li>
 <li>
 Accompany group analytics initiatives, such as customer segmentation, and animate them across the subsidiary
 </li>
 <li>
 Perform ad-hoc analysis to answer specific business questions or deepen understanding of behavior or trends that are not available in existing automated dashboards
 
 
 </li>
 </ul>
 
 Retail excellence &amp; Business performance
 
 
 
 <ul>
 <li>
 Analyse on a regular basis (e.g. weekly, monthly) the retail performance and key KPIs (e.g. sales, sales per metiers, traffic, conversion rate, UPT, average basket)
 </li>
 <li>
 Propose recommendations and build action plans
 </li>
 <li>
 Ensure harmonization and alignment of performance indicators across teams and stores, aligned with the Group
 </li>
 <li>
 Contribute to the preparation of business reviews, strategic committees, and management presentations, providing clear and data-backed narratives
 
 
 </li>
 </ul>
 
 Experience &amp; Requirements
 
 
 
 <ul>
 <li>
 Master's degree (Bac +5) in Engineering or in Science / Data Analysis / Computer Science, and a minimum of 3 to 5 years&rsquo; experience in a similar role
 </li>
 <li>
 Confirmed background in statistical methodologies and social behaviour analysis
 </li>
 <li>
 Proficiency in programming languages (SQL, Python, etc.) and BI and visualization tools (Power BI and/or Cognos IBM)
 </li>
 <li>
 Proficient in data analysis and reporting
 </li>
 <li>
 Ability to analyse and synthesize
 </li>
 <li>
 Customer and business orientated mindset
 </li>
 <li>
 Curiosity and adaptability
 </li>
 <li>
 Discretion and confidentiality
 </li>
 <li>
 Team spirit
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 Fluent preferably in multiple languages with spoken and written English mandatory. Arabic &amp; French are a plus.
 </li>
 </ul>
</div>

Retail Data Analyst

Job SummaryWe are seeking a creative and results-driven Social Media Manager to lead our social media presence in the forex trading industry. The ideal candidate will develop engaging content, grow online communities, increase brand awareness, generate leads, and communicate market insights across multiple social media platforms. A strong understanding of forex trading, financial markets, and digital marketing trends is highly desirable.Job Responsibilities-:Key ResponsibilitiesContent Strategy &amp; Management<ul><li>Develop and execute social media strategies aligned with business goals.</li><li>Create, schedule, and publish high-quality content across platforms such as Instagram, Facebook, LinkedIn, X (Twitter), TikTok, Telegram, and YouTube.</li><li>Produce educational content related to forex trading, market analysis, trading psychology, and company services.</li><li>Coordinate with analysts and trading teams to share timely market updates and insights.</li></ul>Community Engagement<ul><li>Manage daily interactions with followers, clients, and prospects.</li><li>Respond to comments, messages, and inquiries professionally and promptly.</li><li>Build and maintain an active online trading community.</li></ul>Campaign Management<ul><li>Plan and execute social media campaigns to generate leads and increase client acquisition.</li><li>Collaborate with marketing teams on promotions, webinars, trading events, and product launches.</li><li>Manage influencer and affiliate partnerships where applicable.</li></ul>Analytics &amp; Reporting<ul><li>Monitor social media performance metrics and prepare regular reports.</li><li>Analyze audience behavior and optimize content strategies based on data.</li><li>Track key KPIs such as engagement, follower growth, lead generation, and conversion rates.</li></ul>Compliance &amp; Brand Management<ul><li>Ensure all social media communications comply with financial industry regulations and company policies.</li><li>Maintain consistent brand voice, messaging, and visual identity across platforms.</li><li>Stay updated on industry trends, competitor activities, and social media best practices.</li></ul>Working Days- 3 Days Weekly (Part Time),Visa - Own Visas and Freelancers are preferred.Pay: AED2,000.00 - AED3,000.00 per monthWork Location: In person

Social Media Manager (Forex Trading)-Part-Time

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 
 Join the ride!
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Mid/Senior - Data Scientist

EDUHUB MANAGEMENT CONSULTANCIES CO.

AI &amp; Automation Trainer Location: Dubai, UAE Employment Type: Part-Time (Online) Organization: International Institute of Digital Marketing Studies (IIDMS)About the RoleIIDMS is seeking an experienced and industry-focused AI &amp; Automation Trainer to deliver our flagship Certified Applied Generative AI &amp; Automation Professional (CAGAP) program.The ideal candidate should possess hands-on expertise in Generative AI tools, Prompt Engineering, AI-powered productivity solutions, and business automation applications. The trainer will be responsible for delivering practical, business-oriented training to working professionals and corporate learners.Key Responsibilities<ul><li>Deliver instructor-led training for the Certified Applied Generative AI &amp; Automation Professional (CAGAP) program.</li><li>Conduct practical workshops, demonstrations, and hands-on exercises using leading AI platforms.</li><li>Guide learners in applying AI tools to real-world business scenarios.</li><li>Support participants in developing AI-powered workflows and automation projects.</li><li>Develop and update training materials, assessments, case studies, and learning resources.</li><li>Evaluate learner progress and provide mentoring throughout the program.</li></ul>Required ExpertiseCandidates should have strong practical experience in:<ul><li>Generative AI Fundamentals</li><li>ChatGPT, Google Gemini, Claude AI, Microsoft Copilot, Perplexity AI, and NotebookLM</li><li>Prompt Engineering and Prompt Optimization</li><li>AI-Powered Content Creation</li><li>AI for Business Communication and Productivity</li><li>Research and Report Generation using AI</li><li>Workflow Automation Concepts</li><li>No-Code and Low-Code Automation Tools</li><li>AI Applications in Marketing, Sales, Customer Experience, and Business Operations</li><li>AI Governance, Ethics, Security, and Responsible AI Practices</li></ul>Preferred Qualifications<ul><li>Bachelor's or Master's degree in Business, Information Technology, Computer Science, AI, or a related field.</li><li>Minimum 3 years of AI training, consulting, or implementation experience.</li><li>Experience delivering corporate training programs and professional certification courses.</li><li>Strong presentation, facilitation, and communication skills.</li><li>Relevant certifications in Artificial Intelligence, Generative AI, Automation, or Digital Transformation.</li></ul>What We Are Looking For<ul><li>Ability to simplify complex AI concepts for business professionals.</li><li>Strong understanding of practical business applications of AI.</li><li>Experience conducting interactive workshops and project-based learning.</li><li>Passion for emerging technologies and continuous learning.</li></ul>Apply NowInterested candidates may submit their updated CV and relevant certifications to:Email: hr@eduhubinstitute.comSubject: Application &ndash; AI &amp; Automation TrainerOnly shortlisted candidates will be contacted.Work Location: In person

AI & Automation Trainer

Location Solutions

Our GCC headquarters is situated in Dubai, UAE. We are looking for a Support Engineer.Task and Responsibilities<ul><li>Become knowledgeable to a high level in all of our products and solutions from a technical and functional aspect</li><li>Technical Support &ndash; Be part of the Support team</li><li>Technical Training &ndash; This will require the candidate to have excellent presentation skills and confidence when speaking in English.</li><li>Technical Writing &ndash; Compiling technical drawings and instructions for our products and solutions.</li><li>Provide technical assistance to colleagues within the company when required.</li><li>Answer customer requests using the ERP ticketing system.</li><li>Configuring IOT devices based on the customer&rsquo;s requirements</li><li>Integrated and assembled GPS devices and other vehicle accessories according to customer requirements.</li><li>Create configurations for devices based on specific needs.</li><li>Collaborate with hardware manufacturers to address bugs and resolve issues.</li><li>Work closely with the system development team to implement improvement ideas and resolve bugs.</li><li>Must be familiar with the physical hardware installation of the MDVR unit, cameras, and associated sensors (G-sensors, panic buttons, door sensors, fuel sensors) within a vehicle's structure. This includes using ruggedized, shock-absorbing mounts to ensure durability in a mobile environment.</li><li>Remote Management Assisting with real-time tracking, live video viewing, and remote configuration or firmware upgrades.</li><li>Alarm and Event Management Setting up and troubleshooting various smart alarms, such as overspeed warnings, driver fatigue alerts, and emergency triggers.</li><li>Data Retrieval and Analysis Helping fleet managers retrieve specific video evidence (e.g., in case of an accident or incident) and generate operational reports.</li><li>Troubleshooting Hardware Issues Diagnosing problems related to power supply, camera connectivity, GPS signal loss, or storage medium failures.</li></ul>Requirements<ul><li>Ability to understand and work with all types of clients.</li><li>Highly customer-oriented.</li><li>Presentable, hardworking, enthusiastic, persuasive, and confident with a positive attitude.</li><li>Advanced computer and software skills &ndash; MS Office included.</li><li>Attention to detail, systematic approach to problem-solving.</li><li>Professional attitude and behavior, customer-focused.</li><li>Highly organized, assertive, decisive, and patient.</li><li>Ability to build relationships with customers</li><li>Ability to work well both with a group and independently</li><li>Out of the box thinking mindset; is willing to learn and work in a dynamic environment</li><li>Driving License is a plus.</li><li>Graduate of BSECE or BSCpE is an advantage</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Dubai: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>License/Certification:<ul><li>Electronics and communication Engineer (Required)</li></ul>Work Location: In person

Technical Support Engineer(Arabic Speakers only )

Explore 225+ Aba therapist applied behavior analysis therapist in Dubai this June. Find roles across top companies and apply now to boost your career.