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🚨🌟HIRING FOR A TOP TIER CONSULTING FIRM - UAE🌟🚨 A prestigious Top Tier Global Management Consulting Firm is hiring for 2 exciting roles:1️⃣ Data Scientist 2️⃣ AI Software Engineer & Senior AI Software EngineerThis is your chance to work at the intersection of consulting, AI, data science, software engineering, and real-world business impact.🔍 What we’re looking for:📊 Data Scientist role:✅ Data Science Expertise: Strong experience applying data science, statistics, machine learning, advanced analytics, and AI techniques to solve real-world business problems.✅ Machine Learning & Analytics: Deep understanding of modern machine learning techniques, mathematical foundations, advanced analytics, and the ability to translate complex data into clear business insights.✅ Technical Skills: Strong hands-on experience with Python, data science tools, statistical modelling, machine learning models, data visualization, and modern development tools.👨 💻 AI Software Engineer / Senior AI Software Engineer roles:✅ Software Engineering Expertise: Strong experience in software development, building scalable AI solutions, large-scale data analytics, and developing robust, maintainable software.✅ AI Solution Development: Experience designing, building, implementing, and deploying AI / ML-powered solutions across the full software development lifecycle.✅ Technical Skills: Strong hands-on experience with Python, cloud platforms such as AWS, Azure or Google Cloud, data structures, scalable systems, APIs, agile delivery, and modern engineering practices.✅ Engineering Best Practices: Ability to apply software development standards, optimize computational efficiency, improve software design, and collaborate with global / remote agile squads.🎓 Common Requirements Across Both Role Families:✅ Education: Master’s Degree or PhD in Computer Science, Machine Learning, Applied Mathematics, Statistics, Data Science, Software Engineering, or related disciplines.✅ Consulting / Top-Tier Experience: Current or previous experience with Tier1/2 or Big 4 Consulting firms📩 Interested? Let’s talk.📧 Email CV to: rithvik.p@tandemsearch.com📝 Subject: AI Engineer / Data Scientist – [Your Current Firm & Level] – [Current City]💬 Or just DM me right now. I respond personally.🔗 Know someone who fits? Tag them below or share!#2026Hiring #MBBHiring #MBB #Bain #BCG #McKinsey #Kearney #StrategyAnd #RolandBerger #OliverWyman #2026Jobs #DataScientist #SeniorDataScientist #AISoftwareEngineer #SeniorAISoftwareEngineer #ArtificialIntelligence #MachineLearning #AdvancedAnalytics #DataScience #Python #CloudComputing #TechnologyConsulting #ManagementConsulting #ConsultingCareers #TopTierConsulting #CareerGrowth #MiddleEastJobs #DubaiJobs #RiyadhJobs #AbuDhabiJobs #JobsInConsulting #AIJobs #MLJobs #AnalyticsJobs #Hiring #TechJobs #ConsultingJobs

Job Purpose As a Data Scientist, you will apply machine learning and deep learning techniques to solve real-world business problems across numeric and text-based analytics. You will work across the full data science lifecycle—from data acquisition and feature engineering to model development and deployment—collaborating closely with engineering, product, and DevOps teams to deliver customer-centric AI solutions.Job DescriptionKey ResponsibilitiesDevelop and deliver high-quality machine learning and deep learning models across a broad range of analytics use cases.Understand the practical scope and constraints of AI models within products and apply appropriate modeling techniques to ensure business relevance and technical robustness.Acquire data from diverse sources, performing data exploration and preprocessing on structured and unstructured datasets, conducting feature engineering, evaluating algorithms and architectures, and iteratively refining models to improve performance.Identify valuable data sources and automate data collection and preparation processes where possible.Build, fine-tune, and maintain machine learning pipelines, integrate algorithms and packages into the platform, and contribute new models to the platform marketplace.Collaborate closely with engineering and DevOps teams to support model deployment and operationalization.Contribute to applied research activities, propose data-driven solutions to business challenges, and work with product, support, and client-facing teams to ensure successful rollout of AI solutions into trials and general availability.Key SkillsStrong foundation in the theory and applied practice of machine learning and deep learning. Experience developing pipelines for structured and unstructured data.Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch, and machine learning libraries such as scikit-learn.Proficiency in Python, with working knowledge of Java or R.Experience developing and exposing models through RESTful APIs and containerized deployments using Docker.Strong coding practices, including appropriate use of data structures and clean, maintainable code.Applied experience in NLP, including the use of transformer-based models and libraries such as Hugging Face, spaCy, or Gensim. Familiarity with SQL, Pandas, Apache Spark, and data processing at scale.Experience using ML lifecycle tools such as MLflow.Strong analytical thinking, communication skills, and the ability to present technical concepts clearly to internal and external stakeholders.Ability to work collaboratively across multidisciplinary teams.Qualifications and ExperiencePreferred Educational Qualifications and Professional CertificationsBachelor’s degree in Artificial Intelligence, Data Science, Business Analytics, Computer Science, Mathematics, Engineering, or a related field is preferred. Relevant professional certifications are an advantage.ExperienceMinimum 4–6 years of professional experience in data science or applied machine learning roles.Desirable SkillsExperience working with large language models (LLMs), including offline deployment scenarios. Exposure to cloud-based environments (AWS, GCP, Azure). Experience with data visualization tools and collaborative environments such as Jupyter Notebooks and Git-based workflows. Domain experience with education or finance datasets is an advantage.

Vatic is looking for an AI engineer in Abu Dhabi with proven experience with large foundational models. Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.As an AI Engineer you will:Play a crucial role in designing and developing cutting-edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models. Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures.play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis.We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.If you possess the following, we would love to explore what is available for you with our team:Keen interest in training, evaluation, understanding, and innovation of foundational modelsAdvanced proficiency with Python development in a Linux environmentStrong understanding of machine learning, deep learning, and generative AI methods and technologiesDirect experience with multi-GPU model trainingDemonstrable success building high performance softwarePerformance tuning/optimization of software and algorithmsFamiliarity with parallel computing models and frameworksStrong analytical and problem-solving skillsA passion for trading, research, and technologyExcitement and interest in using readily available open source technologies and prototypesExcellent communication skillsConfident team player motivated by a fast-paced environmentAt Vatic, we're serious about our work—but we also believe in balance, growth, and having fun along the way. Here's what you can expect:Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.Comprehensive health benefits – Full health insurance coverage for employees and dependents.Daily meals provided – Enjoy free lunch at the office.

About Our ClientOur client is a rapidly growing AI technology company headquartered in Abu Dhabi, specializing in Enterprise AI, Generative AI, and Large Language Model (LLM) solutions.Working closely with government organizations and leading enterprises across the Middle East, the company develops secure, scalable, and sovereign AI capabilities, with a strong emphasis on multilingual and Arabic-language AI applications.ResponsibilitiesDesign and execute LLM fine-tuning and post-training workflows using SFT, LoRA, QLoRA, DPO, and RLHFBuild and improve high-quality training datasets, including data preparation, annotation standards, synthetic data generation, and quality assuranceDevelop robust model evaluation frameworks using automated benchmarks and human-in-the-loop assessment methodsEnhance model performance through distributed training, quantization, and inference optimizationDeploy customized LLM solutions in private-cloud, on-premise, and security-sensitive environmentsPartner with product, solutions, and engineering teams to deliver enterprise AI use casesEvaluate emerging foundation models and recommend optimal architectures for business requirementsContribute to MLOps best practices, experiment tracking, and reproducible training pipelinesRequirementsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field3+ years of Machine Learning Engineering experience with hands-on exposure to LLM training, fine-tuning, or model optimizationStrong proficiency in Python, PyTorch, and the Hugging Face ecosystemPractical experience with LoRA, QLoRA, PEFT, DPO, RLHF, ORPO, or similar techniquesSolid understanding of Transformer architectures, tokenization, context management, and LLM inferenceExperience training models on multi-GPU infrastructure using frameworks such as DeepSpeed or FSDPStrong analytical skills with experience measuring and improving model qualityExcellent communication skills in English

Hi All,We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning, Generative AI, and Large Language Models (LLMs) to design, develop, and deploy advanced AI-driven solutions. The ideal candidate should have hands-on experience in building scalable ML models and GenAI applications for enterprise use cases.Key ResponsibilitiesDesign, build, and deploy machine learning models for business problemsDevelop and implement Generative AI solutions using LLMs (e.g., GPT, LLaMA, etc.)Build and optimize RAG (Retrieval-Augmented Generation) pipelinesWork on prompt engineering, fine-tuning, and model optimizationDevelop AI agents and automation workflows using frameworks like LangChain / LangGraphPerform data preprocessing, feature engineering, and model evaluationCollaborate with cross-functional teams to translate business needs into AI solutionsDeploy models into production using cloud platforms and APIsMonitor, evaluate, and improve model performanceKey Skills Required✅ Core SkillsStrong knowledge of Machine Learning & Deep LearningExpertise in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)Hands-on experience with LLMs and Generative AI✅ GenAI & LLM SkillsExperience with OpenAI, Hugging Face, or similar ecosystemsStrong understanding of RAG architectures, embeddings, vector databasesExperience in prompt engineering and LLM fine-tuningExposure to Agentic AI frameworks (LangChain, LangGraph)✅ Data & EngineeringExperience with SQL, ETL pipelines, and data processingKnowledge of Databricks / Spark (preferred)Familiarity with vector databases (FAISS, Pinecone, ChromaDB)✅ Cloud & DeploymentExperience with Azure / AWS / GCPKnowledge of ML deployment (APIs, Docker, CI/CD)Only Immediate joiner shares their profiles on priya.singh@atain.com

Senior Machine Learning EngineerOverview:We’re looking for an experienced and hands-on Senior Machine Learning Engineer with deep expertise in audio and speech technologies to drive the design, development, and deployment of advanced ML models powering our data integration platform.In this role, you will focuse on speech-to-text (with domain adaptation), speaker identification, keyword spotting, language identification, and deep fake detection. You will work closely with engineering and data infrastructure teams to build, optimize, and deploy scalable ML services in production using NVIDIA Triton, Kubernetes, and modern transformer-based architectures.This position requires a unique combination of machine learning depth, software engineering proficiency, and team work skills to deliver robust, real-time, multimodal ML enrichment capabilities.Responsibilities:Assist ML team in developing, training, and deploying production-grade models for:Speech-to-text (including domain adaptation)Speaker identification and verificationKeyword spottingLanguage identificationDeepfake and synthetic audio detectionResearch and integrate transformer-based and multi-modal model architectures into production pipelines.Collaborate with platform engineers to deploy ML models via NVIDIA Triton Inference Server and ensure low-latency, scalable serving.Design and maintain Airflow DAGs for data preprocessing, feature extraction, and model enrichment pipelines.Ensure continuous improvement of models through retraining, performance monitoring, and data feedback loops.Collaborate cross-functionally with Data Engineering, Backend, and Product teams to integrate ML capabilities into the platform.Mentor and guide ML engineers and researchers, fostering a culture of technical rigor, creativity, and collaboration.Oversee release and validation processes for ML components within larger system releases.Contribute to and review production-level code in Python (C++, Golang, Rust knowledge is beneficial).Qualifications:Bachelor’s or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, or related fieldDemonstrated record of leading ML initiatives from research to production.Experience in startups or fast-paced, product-centric teams is highly desirable.Skills neededSpeech-to-TextPytorchDeep fake detection - nice to haveAudio processingSpeaker search - nice to haveAirflowKubernetesMachine LearningPython (Programming Language)