estimation engineer

sales engineer

mechanical engineer

senior data engineer

industrial 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)

VDD AI

We are in search of a talented professional to join our team as a Data Science and Machine Learning Engineer. In this capacity, you'll play a pivotal role in designing, developing, and maintaining advanced data processing and machine learning systems. This is full-time employment.www.vdd.aiKey Responsibilities:. Design, implement, and validate machine learning models for prediction, classification, recommendation, etc.. Select appropriate algorithms and tune hyperparameters to optimize performance.. Package models into production-ready systems (e.g., via APIs or cloud services).. Handle model drift, data quality issues, and scalability challenges.&middot; Build data integration, transformation, and aggregation scripts&middot; Develop and implement automation scripts.&middot; Monitor and improve the efficiency of scripts&rsquo; runs&middot; Create data fetching and application models and controller scripts (MVC applications)&middot; Accompany, facilitate, and support data visualisations and insights extractions in applications and BI/Reporting tools.Requirements:&middot; Degree in Computer Science, Data Science, Applied Mathematics, or related fields.&middot; Record of delivering analytical solutions with business impact&middot; Expertise in SQL/Python is mandatory&middot; Excellent Microsoft Office skills&middot; Understanding of data structures, data modeling, and software architecture.&middot; Ability to communicate complex data concepts in a clear and effective manner.&middot; A strong knack for problem-solving and a keen eye for detail.&middot; Good experience with main clouds (AWS, GCP, Azure) and managed services (Snowflake, Databricks) or similar technologies is highly appreciated.Joining our team, you'll have the chance to utilize cutting-edge technologies, collaborate with top-tier professionals, and contribute significantly to our data-driven decision-making processes. If you're passionate about machine learning and data, we'd love to hear from you.Full Visa Sponsorhip and healthcare. Competitive package!Job Type: Full-timePay: AED8,000.00 - AED12,000.00 per monthAbility to commute/relocate:<ul><li>Dubai: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Python: 3 years (Preferred)</li><li>SQL: 3 years (Preferred)</li></ul>

Data Scientist Machine Learner

Naffco

<div></div><div>Experience: 2 - 8 yrs. | Opening: 1
 
Education:Any Graduation 
Nationality: Any Nationality 
Industry Type:Industrial Products / Heavy Machinery 
Functional Area:Software Development / Application Development (IT Software) Sep 16,2025 
<div><div>
</div></div><div></div><h3 class="jobSectionHeader">Job Description</h3>
<div>Job Purpose:
To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle &mdash; from model training to deployment &mdash; ensuring scalable and business-aligned solutions.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>AI Module Development &amp; Integration &ndash; Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.</li><li>Machine Learning Model Lifecycle &ndash; Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.</li><li>System &amp; Platform Integration &ndash; Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.</li><li>Model Training&ndash; Prepare data, select algorithms, and train models with high accuracy and scalability.</li><li>Production Deployment &ndash; Deploy, monitor, and optimize ML models in production environments (cloud and edge).</li><li>Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.</li></ul><h3 class="jobSectionHeader"> 
Qualifications &amp; Skills:</h3><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).</li><li>Proven hands-on experience in ML model training and production deployment.</li><li>Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).</li><li>Experience in data engineering &amp; API integration.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and containerization(Docker, Kubernetes).</li></ul><h3 class="jobSectionHeader">
Key Competencies:</h3><ul><li>End-to-end ownership of ML model lifecycle.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to bridge technical solutions with business impact.</li></ul> 

</div><div>Keyword: AI Software Developer,AI,AI Platform Engineer,IoT,AI Solutions Architect,Machine Learning,AI Engineer,Deep Learning,AI Module Developer,AI Systems Engineer,IoT AI Specialist,Machine Learning Engineer,Embedded AI Engineer,TensorFlow,PyTorch</div></div>

AI Module Development Engineer – IoT & Digital Platforms

DICETEK LLC

<div>Job Overview:
We 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 &amp; Requirements:
Education &amp; Experience:<ul><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>
3+ years of experience in AI, machine learning, or natural language processing (NLP).</li><li>
Proven experience working with LLMs, text-to-image models, and generative AI applications.</li><li>
Strong understanding of deep learning, transformer architectures, reinforcement learning, and diffusion models.</li><li>
Familiarity with cloud-based AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and MLOps best practices.</li></ul> 
Technical Skills:<ul><li>
Proficiency in programming languages such as Python, TensorFlow, PyTorch, and Hugging Face Transformers.</li><li>
Experience working with APIs for OpenAI, Anthropic, Cohere, and Stability AI.</li><li>
Hands-on experience with prompt engineering, fine-tuning LLMs, and retrieval-augmented generation (RAG) techniques.</li><li>
Knowledge of vector databases (FAISS, Pinecone, ChromaDB) for efficient AI search and retrieval.</li><li>
Strong understanding of data privacy, AI ethics, and regulatory compliance (e.g., GDPR, AI Act, CCPA).</li></ul> 
Soft Skills &amp; Competencies:<ul><li>
Strong analytical and problem-solving skills with a business-oriented AI mindset.</li><li>
Excellent communication skills, with the ability to simplify complex AI concepts for non-technical stakeholders.</li><li>
Ability to drive AI adoption and manage change across teams.</li><li>
Project management skills with experience in leading AI initiatives across an organization.</li></ul>
Preferred Qualifications:<ul><li>
Certifications in AI/ML (e.g., Google Professional ML Engineer, AWS Certified Machine Learning, OpenAI API Certification).</li><li>
Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.</li><li>
Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.</li><li>
Experience with multi-agent AI systems, self-learning models, and real-time AI applications.</li></ul></div>

AI Specialist (Generative AI Focus)

MBC GROUP

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Model Development &amp; Implementation: Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
 </li>
 <li>
 AI Solutions: Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
 </li>
 <li>
 Data Analysis &amp; Exploration: Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
 </li>
 <li>
 Collaborative Problem Solving: Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives.
 </li>
 <li>
 Model Optimization: Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
 </li>
 <li>
 Scalability &amp; Performance: Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
 </li>
 <li>
 Stay Current with AI Trends: Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage.
 </li>
 <li>
 Reporting &amp; Communication: Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
 </li>
 <li>
 Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
 </li>
 <li>
 Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Strong proficiency in programming languages such as Python, R, or similar.
 </li>
 <li>
 Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
 </li>
 <li>
 Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
 </li>
 <li>
 Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.
 
 
 </li>
 </ul>
 Unfortunately, due to the high number of responses we receive we are unable to provide feedback to all applicants. If you have not been contacted within 5-7 days, please assume that at this stage your application has been unsuccessful.
</div>

Data Scientist

ONFUSION

C++ &amp; Python development and SQL skills with back ground in computer vision, machine learning.Job Type: Full-timePay: AED1.00 per monthApplication Question(s):<ul><li>How many years of experience you have as AI Developer in UAE?</li><li>Are you based in UAE?</li><li>Salary expectations? Notice period?</li><li>Do you have C++ development and SQL skills with back ground in computer vision, machine</li></ul>learning.<ul><li>Do you have Python development and SQL skills with back ground in computer vision, machine</li></ul>learning.

AI Developer

Deeplight

<div>About DeepLight AI: DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries. Our team combines deep expertise in AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Role Overview: We are looking for a Senior AI/ML Engineer to design, develop and implement machine learning models and AI-powered solutions for our enterprise clients. The successful candidate will work on complex data processing pipelines, model development, and performance optimisation across various business domains.
Key Responsibilities:<ul>
<li>Design and implement AI/ML models to solve complex business problems</li>
<li>Develop data processing pipelines for model training and deployment</li>
<li>Implement algorithm optimizations for performance improvement</li>
<li>Create prediction engines and pattern recognition systems</li>
<li>Tune models based on performance metrics and feedback</li>
<li>Test AI models for accuracy, bias, and robustness</li>
<li>Implement AI monitoring and logging mechanisms</li>
<li>Collaborate with data engineers and full-stack developers to integrate AI solutions</li>
<li>Provide technical expertise on AI/ML best practices and methodologies</li>
</ul>Requirements<ul>
<li>8+ years of experience in machine learning and AI development</li>
<li>Strong proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, scikit-learn)</li>
<li>Experience with NLP, computer vision, or predictive analytics</li>
<li>Knowledge of data processing and feature engineering techniques</li>
<li>Experience with model deployment and production ML pipelines</li>
<li>Understanding of cloud platforms (AWS, Azure, or GCP)</li>
<li>Strong problem-solving skills and attention to detail</li>
<li>Experience with financial data or enterprise solutions a plus</li>
</ul>Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

AI / ML Engineer

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