estimation engineer

mechanical engineer

senior software engineer

ai engineer

backend engineer

machine learning engineer

Etihad Credit Bureau

<div>
 
 
 JOB DESCRIPTION SUMMARY
 
 
 
 
 
 
 The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.
 
 
 
 
 
 
 KEY DUTIES &amp; RESPONSIBILITIES
 
 
 <ul>
 <li>
 
 Production Model Maintenance:
 
 Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
 </li>
 <li>
 
 Platform Orchestration:
 
 Manage AzureML pipelines &amp; Databricks workflows for model retraining, batch scoring, and real-time inference.
 </li>
 <li>
 
 High-Availability Engineering:
 
 Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
 </li>
 <li>
 
 Release Management:
 
 Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
 </li>
 <li>
 
 Model Governance:
 
 Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
 </li>
 <li>
 
 Incident Response:
 
 Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
 </li>
 <li>
 
 Infrastructure Optimization:
 
 Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
 </li>
 <li>
 
 Vendor Management:
 
 Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.
 </li>
 </ul>
 
 
 
 
 
 EDUCATION &amp; SKILLS
 
 
 <ol>
 <li>
 Educated with at least bachelor&rsquo;s degree or equivalent in related field
 </li>
 <li>
 Education specialization or master&rsquo;s degree in computer science, Software Engineering
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Preferred proficiency in Arabic
 </li>
 <li>
 In-depth knowledge of React Native and Next JS and related modules, components and libraries
 </li>
 <li>
 Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore
 </li>
 </ol>
 
 
 
 
 
 EXPERIENCE &amp; KNOWLEDGE
 
 
 <ol>
 <li>
 Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
 </li>
 <li>
 2+ years in Data Science or Software Engineering experience
 </li>
 <li>
 2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
 </li>
 <li>
 Strong problem-solving skills and the ability to resolve issues efficiently.
 </li>
 <li>
 CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
 </li>
 <li>
 Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.
 </li>
 </ol>
 
 
 
 
 
 ABILITIES &amp; SPECIFIC REQUIREMENTS
 
 
 <ol>
 <li>
 Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
 </li>
 <li>
 Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
 </li>
 <li>
 Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
 </li>
 <li>
 Credit bureau data structures (tradelines, inquiries, public records)
 </li>
 <li>
 Model risk management (MRM) standards
 </li>
 <li>
 Azure Solutions Architect or MLOps certifications
 </li>
 <li>
 Experience with financial services-grade SLAs (99.9% uptime) and outage management
 </li>
 <li>
 Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
 </li>
 <li>
 Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
 </li>
 <li>
 Knowledge of new and upcoming AI tools
 </li>
 <li>
 This is contained within the earlier requirement of python. If the plan is for this resource
 </li>
 <li>
 Excellent written and verbal communication skills English
 </li>
 <li>
 Strong interpersonal skills with the ability to engage and build relationships
 </li>
 <li>
 Crisis management under pressure
 </li>
 <li>
 Cross-functional collaboration with data science/risk teams
 </li>
 <li>
 Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
 </li>
 <li>
 Ability to develop and document procedures, roles, and guidelines.
 </li>
 <li>
 
 Security and Compliance
 
 Especially in financial services, mention data security, PII handling, and compliance with regulations
 </li>
 </ol>
</div>

Machine Learning Engineer (Contract - For Immediate Hire)

Almosafer

<div>
 
 
 About the company:
 
 
 
 At Almosafer (part of Seera Group), we&rsquo;re not just part of the travel industry, we&rsquo;re helping shape its future.
 
 
 As Saudi Arabia&rsquo;s leading travel company, we serve millions across every segment of the travel and tourism ecosystem.
 
 
 Rooted in our name &ldquo;Almosafer,&rdquo; meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region.
 
 
 We&rsquo;re united by a bold vision:
 
 
 To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.
 
 
 Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a talented Machine Learning Engineer to join our data science team. The ideal candidate will be responsible for developing and implementing machine learning models and algorithms that solve complex business problems. You will work closely with data scientists, software engineers, and stakeholders to deliver scalable solutions.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, build, and deploy machine learning models and algorithms.
 </li>
 <li>
 Collaborate with data scientists to refine data features and enhance model performance.
 </li>
 <li>
 Optimize and improve existing machine learning models for efficiency and accuracy.
 </li>
 <li>
 Conduct data preprocessing, feature engineering, and data analysis.
 </li>
 <li>
 Monitor and maintain models in production to ensure they operate effectively.
 </li>
 <li>
 Document and communicate model designs and performance metrics to stakeholders.
 </li>
 <li>
 Stay updated on the latest industry trends and advancements in machine learning and AI.
 </li>
 <li>
 Participate in code reviews and contribute to a culture of continuous improvement
 </li>
 </ul>
 
 
 
 
 
 Profile requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
 </li>
 <li>
 Proven experience as a Machine Learning Engineer or in a similar role.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, or R.
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g.,AWS BedRock, Amazon SageMaker, TensorFlow, PyTorch, Scikit-learn)
 </li>
 <li>
 Strong understanding of algorithms, data structures, and software engineering principles.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for deploying machine learning models.
 </li>
 <li>
 Knowledge of data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
 </li>
 <li>
 Excellent problem-solving skills and ability to work collaboratively in a team environment.
 </li>
 <li>
 Experience with deep learning and natural language processing (NLP) techniques.
 </li>
 <li>
 Understanding of model interpretability and explainability.
 </li>
 <li>
 Perform statistical analysis, and train and retrain systems to optimize performance
 </li>
 <li>
 
 Preferred Skills:
 
 </li>
 <li>
 Familiarity with version control systems (e.g., Git) and CI/CD practices.
 </li>
 <li>
 Experience with AI/GenAI
 </li>
 <li>
 Experience with AWS data services (e.g., AWS EMR, AWS Glue, AWS Athena)
 </li>
 <li>
 Design/build and deploy API services
 </li>
 </ul>
 
 
 
 
 
 Being you @ Almosafer:
 
 
 
 At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way.
 
 
 Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger. Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.
 
 
 Here, you will find:
 
 
 A purpose-led workplace where your ideas can create real impact
 
 
 Ongoing learning and development to help you grow with intention
 
 
 Recognition that celebrates your wins, both big and small
 
 
 A community built on trust, curiosity, and shared momentum
 
 
 No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.
 
</div>

Specialist - Machine Learning

Express Communication Services Limited

Job DescriptionThe candidate should possess the following specializations:<ul><li>GenAI Engineer</li><li>AI Engineer</li><li>AI Product Owner</li><li>Machine Learning</li><li>Data Quality Analyst</li><li>Data Scientist</li><li>AI Portfolio &amp; Planning</li><li>Edge AI &amp; Robotics</li><li>AI/ML Operations (MLOps)</li><li>GenAI Tech</li><li>Scrum Master / Project Manager</li></ul>Job Type: Full-timePay: AED5,500.00 - AED5,700.00 per month

AI Engineer

ClearVUE.Business

<div>
 
 
 Hi, we're ClearVUE Dubai
 
 
 
 
 
 
 ClearVUE Dubai is an environmental and energy consultancy and technology provider. We work with companies across all sectors to define and execute their carbon reduction and energy efficiency strategies on their wider ESG initiatives.
 
 
 
 
 
 Through comprehensive energy and carbon assessments and strategy building and implementation services, underpinned by industry-leading energy and carbon management technology, we are creating revolutionary solutions for businesses to eradicate their impact on the climate one step at a time.
 
 
 
 
 
 ClearVUE Dubai is part of Global Procurement Group, a multinational group of companies working in energy procurement and consultancy. Join our global family, with modern and vibrant offices in the UK, France, Malta, and India. Be part of a team leading the way in energy consultancy and helping businesses make informed decisions about their energy consumption.
 
 
 
 
 
 
 The opportunity
 
 
 
 
 
 
 Are you an AI engineer with a passion for data, innovation, and driving real-world impact? We&rsquo;re looking for a skilled and motivated AI Engineer to join our data team in Dubai. In this role, you&rsquo;ll work on impactful projects in energy and sustainability, applying advanced machine learning techniques, AI tools, and large language models (LLMs) to solve complex, real-world challenges and help shape the future of intelligent solutions.
 
 
 
 
 
 
 What exactly will you do?
 
 
 
 
 
 <ul>
 <li>
 Collaborate with our team to analyse and interpret data from diverse sources, including sensors, APIs, and customer platforms.
 </li>
 <li>
 Design, develop, and deploy machine learning models that predict trends, improve efficiency, and generate actionable insights from energy-related data.
 </li>
 <li>
 Build and integrate AI/ML solutions into production environments, ensuring scalability and reliability in real-world applications.
 </li>
 <li>
 Work with modern AI tools such as
 
 OpenAI, Hugging Face, and LangChain
 
 , applying
 
 Retrieval-Augmented Generation (RAG)
 
 and
 
 Model Context Protocol (MCP)
 
 techniques to enhance data relevance, context awareness, and explainability in AI-driven products.
 </li>
 <li>
 Stay current with the latest advancements in AI, data science, and MLOps tools, and bring innovative ideas to the team.
 </li>
 <li>
 Participate in brainstorming sessions, code reviews, and planning meetings; your technical perspective and creativity will help shape our solutions.
 </li>
 <li>
 Contribute to dashboards, reports, and prototypes that translate complex data into clear, actionable insights for clients and internal teams.
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 3 &ndash; 5 years of experience working as an
 
 AI Engineer
 
 or similar role.
 </li>
 <li>
 Bachelor&rsquo;s Degree in
 
 Computer Science, Data Science, Engineering, Maths, Physics
 
 , or a related field.
 </li>
 <li>
 Hands-on experience with
 
 Python
 
 ,
 
 data analysis
 
 , or
 
 machine learning
 
 .
 </li>
 <li>
 Solid understanding of AI/ML concepts (e.g., building and evaluating models, using Jupyter notebooks, working with LLM APIs).
 </li>
 <li>
 Proficiency in data manipulation using tools such as
 
 pandas
 
 ,
 
 NumPy
 
 , and
 
 SQL
 
 .
 </li>
 <li>
 Experience with
 
 scikit-learn
 
 ,
 
 TensorFlow
 
 , or
 
 PyTorch
 
 , and familiarity with LLM frameworks such as
 
 OpenAI API
 
 or
 
 LangChain
 
 .
 </li>
 <li>
 Excellent communication skills; you can clearly explain technical concepts to both technical and non-technical audiences
 </li>
 <li>
 A proactive team player with a growth mindset, eager to learn, share knowledge, and contribute to meaningful projects
 </li>
 </ul>
 
 
 
 
 
 Nice to Have (but not expected)
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in related field.
 </li>
 <li>
 Experience implementing
 
 RAG pipelines
 
 or
 
 MCP-based integrations
 
 to connect AI models with live enterprise data sources.
 </li>
 <li>
 Knowledge of time series data or experience working with energy, IoT, or sustainability projects.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, or Azure) or tools like Git, Docker, or APIs.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 This is your chance to work with a team building technology that actually matters, not just another app, but a platform helping organisations become more energy efficient and sustainable. We&rsquo;ll support your growth, celebrate your ideas, and push the boundaries of what software can do in today&rsquo;s energy landscape.
 
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 
 
 
 
 💎
 
 Compensation Package:
 
 We offer a
 
 monthly base salary of 16,000 AED
 
 , plus
 
 comprehensive medical insurance.
 
 
 
 🌍
 
 Purpose-Driven Impact:
 
 Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.
 
 
 🚀
 
 Ongoing Support and Development:
 
 Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.
 
 
 📈
 
 Clear Path to Advancement:
 
 We believe in nurturing our own; promotions from within are our specialty.
 
 
 
 
 
 
 GPG is an equal opportunity employer and applicants will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
 
 
</div>

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
 </li>
 <li>
 Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
 </li>
 <li>
 Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
 </li>
 <li>
 Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
 </li>
 <li>
 Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
 </li>
 <li>
 Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
 </li>
 <li>
 Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of engineering experience
 </li>
 <li>
 Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
 </li>
 <li>
 Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
 </li>
 <li>
 Solid understanding of cloud technologies, containerisation and building scalable AI applications
 </li>
 <li>
 Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
 </li>
 <li>
 Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
 </li>
 <li>
 Experience working with large datasets, particularly in relation to demand and supply forecasting
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience or strong interest in energy markets and trading strategies
 </li>
 <li>
 Understanding of weather forecasting, energy demand patterns, and production modelling
 </li>
 <li>
 Exposure to Natural Language Processing (NLP) or other related fields
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner for office based employees
 </li>
 </ul>
</div>

Applied AI Engineer

Ageless Medical Center

We are seeking an experienced and innovative AI Engineer to design, build, and deploy AI-driven solutions that enhance business operations and patient experience. The ideal candidate will have expertise in machine learning, natural language processing, and automation systems, with hands-on experience in developing and integrating AI models into production environments.Key Responsibilities<ul><li>Design, develop, and deploy AI/ML models and algorithms for business applications.</li><li>Build and maintain data pipelines for model training and validation.</li><li>Collaborate with software engineers, data scientists, and business teams to integrate AI capabilities into products and systems.</li><li>Apply deep learning, NLP, and computer vision techniques to solve real-world problems.</li><li>Optimize models for scalability, performance, and efficiency.</li><li>Analyze datasets to identify trends, anomalies, and predictive opportunities.</li><li>Stay updated with emerging AI technologies, frameworks, and best practices.</li><li>Prepare technical documentation and participate in project planning and progress reporting.</li><li>Ensure compliance with data security, governance, and ethical AI standards.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>3&ndash;6 years of experience in AI/ML model development, preferably within the UAE or GCC region.</li><li>Strong programming skills in Python and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn.</li><li>Experience with cloud-based AI environments (AWS SageMaker, Google Vertex AI, Azure ML).</li><li>Solid understanding of data preprocessing, model evaluation, and deployment.</li><li>Familiarity with MLOps pipelines and version control tools (Git, Docker).</li><li>Excellent problem-solving, analytical, and teamwork skills.</li></ul>Job Type: Full-time

Emirates NBD

<div>
 
 
 Organization Unit Purpose
 
 
 
 Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD&rsquo;s ambitious advanced analytics agenda across ENBD.
 
 
 
 
 
 Core objectives of the center include:
 
 
 - Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU&rsquo;s
 
 
 - Instill a data driven culture across ENBD by building organization wide capabilities in advanced analytics
 
 
 
 
 
 The CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what&rsquo;s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.
 
 
 
 
 
 It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.
 
 
 
 
 
 The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget &amp; performance management
 
 
 
 
 
 
 Job Purpose
 
 
 <ul>
 <li>
 The senior data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targets
 </li>
 <li>
 The role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
 </li>
 <li>
 The senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needs
 </li>
 <li>
 The role supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
 </li>
 <li>
 The senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growth
 </li>
 </ul>
 
 
 
 
 
 Job Content
 
 
 
 Deliver a strong roadmap of AA projects in collaboration with Business Units
 
 <ul>
 <li>
 Designs and implement machine-learning models to support the business&rsquo;s numerous initiatives and programs with a view of achieving overall objectives and targets
 </li>
 </ul>
 
 
 Artefact documentation
 
 
 <ul>
 <li>
 Successful documentation of reusable code
 </li>
 </ul>
 
 
 Development and learning
 
 
 <ul>
 <li>
 Achieve personal technical development and learning goals
 </li>
 </ul>
 
 
 Collaboration and knowledge share
 
 
 <ul>
 <li>
 Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc
 </li>
 <li>
 Participates in and helps plan cultural initiatives for CoE
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 University degree
 </li>
 <li>
 Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable
 </li>
 </ul>
 
 
 
 
 
 Experiences
 
 
 
 6-8 years of experience in a data science role is essential
 
 
 
 
 
 
 Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Validated experience of defining analytics road map and leading analytics engagements
 </li>
 <li>
 Should have experience in machine learning, statistics, optimization or related fields
 </li>
 <li>
 Experience with programming is a must; specifically experience in R or Python
 </li>
 <li>
 Experience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essential
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Worked in agile environments with multiple stakeholders from the business
 </li>
 </ul>
 
 
 
 
 
 Behavioral Competencies
 
 
 <ul>
 <li>
 Practical and action oriented
 </li>
 <li>
 Compelling communicator
 </li>
 <li>
 Excellent stakeholder management
 </li>
 <li>
 Foster and promote entrepreneurial spirit and curiosity amongst team members
 </li>
 <li>
 Team player
 </li>
 <li>
 Quick learner
 </li>
 </ul>
 
 
</div>

Senior Data Scientist - Advanced Analytics CoE

Explore 1537+ Machine learning engineer in Dubai this November. Find roles across top companies and apply now to boost your career.

1537 machine learning engineer jobs IN Dubai

Machine Learning Engineer (Contract - For Immediate Hire)

Specialist - Machine Learning

AI Engineer

AI Engineer

Applied AI Engineer

AI Engineer

Senior Data Scientist - Advanced Analytics CoE