Jobs at Dicetek LLC

We are seeking motivated and talented Emirati fresh graduates with a strong academic background and interest in Artificial Intelligence (AI). The role will provide exposure to AI technologies such as Machine Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI. The selected candidates will be part of a dynamic team working on innovative projects to support digital transformation initiatives.Key ResponsibilitiesAssist in developing and implementing AI models and algorithms.Support in data collection, cleaning, and preprocessing for AI applications.Conduct research and benchmarking on AI tools and emerging technologies.Collaborate with senior data scientists/AI engineers on project requirements.Contribute to building prototypes, proof-of-concepts, and AI-driven solutions.Document findings, processes, and model performance for knowledge sharing.Participate in training sessions, workshops, and continuous learning activities.Qualifications & SkillsBachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.Strong foundation in programming (Python, R, or Java).Basic knowledge of AI/ML concepts (Machine Learning, Deep Learning, NLP, or Gen AI).Familiarity with data analysis, statistics, and algorithms.Good understanding of databases and data structures.Strong problem-solving and analytical skills.Excellent communication and teamwork abilities.Willingness to learn and adapt to new AI tools and technologies.What We OfferTraining and mentorship from AI and data science experts.Hands-on exposure to AI projects and real-world applications.Career development opportunities in emerging technologies.A collaborative and innovative work environment. Show more Show less

We are seeking an AI Developer with a strong background in Python, MLOps, Machine Learning (NLP). In this role, you will design and build end-to-end AI solutions—from data ingestion and model training to deployment and monitoring—with a special focus on leveraging large language models (LLMs) and developing agentic AI capabilities.Experience7+ years in AI/ML development, data science, or related roles with a proven record of contributing to production-ready AI/ML projects.Technical Skills Proficient in Python, including libraries such as NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch. Experience with containerization (Docker) and orchestration (Kubernetes/OpenShift). Familiarity with GPU acceleration (e.g., NVIDIA CUDA). Exposure to MLOps tools for continuous integration and deployment. Strong understanding of data engineering concepts (ETL, data pipelines, data preparation). Demonstrated experience working with LLMs and natural language processing frameworks, as well as an interest in agentic AI.Soft Skills Excellent problem-solving and analytical skills focused on developing scalable and maintainable solutions. Strong communication and collaboration abilities to work effectively with cross-functional teams. Capability to articulate complex AI/ML concepts, especially regarding LLMs and autonomous systems, to diverse audiences. Show more Show less

As the Data Scientist within the Data & Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes. Your focus will be on advancing the bank's capabilities in machine learning (mandatory SAS EG) along with python, Dataiku and Databricks overseeing the development and implementation of machine learning solutions tailored to enhance operational efficiency and customer engagement.Accountabilities Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques. Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timelinespecifications. Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis. Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations. Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights. Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies.SkillsBachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related field; Additional Degree or certifications in the field related to data science/Analytics is preferred. Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python. Advanced proficiency in programming languages in SAS Base, EMiner, Advanced Hands-on Programming experience in Python. Hands on Experience of working on Dataiku Platform for production is required Azure Databricks and AWS knowledge is a plus Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques. Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku. Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies. SAS, Dataiku certifications would be added advantage. Show more Show less

Experience Required (Number of Years): 10-15 YearsDescription Skill/Experience/QualificationAnalyze large datasets to identify trends, patterns, and actionable insights.Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems.Collaborate with stakeholders to define business problems and translate them into data science solutions.Communicate findings through visualizations, dashboards, and presentations.Stay up to date with the latest data science techniques and tools.Experience with cloud platforms (AWS, Azure)Familiarity with big data technologies (Spark, Hadoop).Knowledge of MLOps and model deployment best practices.Strong understanding of statistical methods and data modeling. Show more Show less

Job OverviewWe are looking for an experienced AI Specialist with a strong focus on Generative AI (GenAI) to drive innovation and AI adoption across our organization. This role will identify high-value GenAI use cases, advise departments on AI-driven solutions, lead AI projects, and stay at the forefront of emerging GenAI technologies. The ideal candidate will have deep expertise in large language models (LLMs), generative AI frameworks, multimodal AI, and AI automation, along with the ability to translate these into practical business applications that enhance efficiency, creativity, and decision-making.You will collaborate with cross-functional teams to develop and integrate AI-powered solutions that optimize operations, enhance customer engagement, and unlock new growth opportunities.Qualifications & RequirementsEducation & Experience:Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.3+ years of experience in AI, machine learning, or natural language processing (NLP).Proven experience working with LLMs, text-to-image models, and generative AI applications.Strong understanding of deep learning, transformer architectures, reinforcement learning, and diffusion models.Familiarity with cloud-based AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and MLOps best practices.Technical SkillsProficiency in programming languages such as Python, TensorFlow, PyTorch, and Hugging Face Transformers.Experience working with APIs for OpenAI, Anthropic, Cohere, and Stability AI.Hands-on experience with prompt engineering, fine-tuning LLMs, and retrieval-augmented generation (RAG) techniques.Knowledge of vector databases (FAISS, Pinecone, ChromaDB) for efficient AI search and retrieval.Strong understanding of data privacy, AI ethics, and regulatory compliance (e.g., GDPR, AI Act, CCPA).Soft Skills & CompetenciesStrong analytical and problem-solving skills with a business-oriented AI mindset.Excellent communication skills, with the ability to simplify complex AI concepts for non-technical stakeholders.Ability to drive AI adoption and manage change across teams.Project management skills with experience in leading AI initiatives across an organization.Preferred QualificationsCertifications in AI/ML (e.g., Google Professional ML Engineer, AWS Certified Machine Learning, OpenAI API Certification).Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.Experience with multi-agent AI systems, self-learning models, and real-time AI applications. Show more Show less

Role Summary: The Data Scientist will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable insights, and support data-driven decision-making.Key Responsibilities Data Collection & Processing Extract, clean, and preprocess structured and unstructured data from multiple sources. Ensure data integrity, quality, and governance. Analytics Apply statistical methods to solve business problems. Develop algorithms to optimize business processes (e.g., customer record segmentation, duplicate detection, recommendation for efficiency optimisation). Visualization & Reporting Build dashboards and visualizations to communicate findings to stakeholders. Translate complex results into actionable insights for non-technical audiences. Collaboration Work closely with project implementation teams to understand requirements and deliver data solutions. Collaborate with data engineers to expedite data driven conclusions and opportunity areas.Required Skills & Qualifications Education: Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Data Science, or related field.Technical Skills Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI, matplotlib). Strong knowledge of statistics, probability, and hypothesis testing. Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).Business Skills Ability to translate data insights into business recommendations. Strong problem-solving and critical-thinking skills.Preferred Qualifications Experience with big data technologies (Spark, Hadoop). Familiarity with cloud platforms (AWS, Azure, GCP). Publications or project work demonstrating data science applications.Key Performance Indicators (KPIs) Accuracy and robustness of conclusions basis data study. Business value generated through data insights. Timeliness and quality of reports and dashboards. Stakeholder satisfaction and adoption of data-driven solutions. Show more Show less