project engineer

electrical engineer

sales engineer

mechanical engineer

planning engineer

machine 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)

McDermott

<div><div>Job Overview: 
</div><div></div><div>The Production Engineer applies their conceptual knowledge of Production and, with a moderate level of guidance and direction from colleagues and leadership, is responsible for solving a range of straightforward Production problems. They will be responsible for analyzing possible solutions using standard procedures and building knowledge of the company, processes, and customers. The Production Engineer understands critical business drivers and applies this knowledge to solve problems in straightforward situations by analyzing possible solutions using technical experience, judgment, and precedents.</div></div>
 <div><div>Our ingenuity fuels daily life. Together, we&rsquo;ve forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably.
 
 
For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries.</div></div>
 <div><div>Key Tasks and Responsibilities:
</div><ul><li>Review project scope of work, schedules, and specifications; understand the requirements and deliverables
</li><li>Prepare Scope of Work and Task Listing
</li><li>Review the fabrication schedule and suggest corrections to the planning team
</li><li>Review drawings for constructability and identify any special items/subcontract requirements
</li><li>Review monthly material reports. Ensures and raises problems with material delivery
</li><li>Review the material requisitions prior to the order
</li><li>Check grade, plate sizing assumptions
</li><li>Initiate site queries to utilize available material (substitutions)
</li><li>Provide field guidance and ensure compliance with Company specification
</li><li>Attend production meetings and report concerns
</li><li>Monitor scope changes and Production revision orders
</li><li>Report weekly fabrication progress and monitor production man-hours and productivity
</li><li>Review four weeks look ahead plans and identify the constraints (material/drawings)
</li><li>Coordinate with the construction engineer to ensure procedures are issued timely/ all parties understand any change
</li><li>Coordinate any sub-contract scope
</li><li>Review as-built drawings
</li><li>Coordinate materials movements within the yard
</li><li>Coordinate with shop/erection floor planning to ensure compliance with the project plan.
</li><li>Approve relevant fabrication drawings and review Work Pack deliverables in accordance with Work Pack Index</li></ul></div>
 <div><div>Essential Qualifications and Education:
</div><ul><li>Bachelor&rsquo;s Degree in Engineering
</li><li>3+ years of experience in oil and gas with major contractor or consultant
</li><li>Familiar with the content and application of API RP2A, AISC, and AWS
</li><li>Excellent written and verbal communication skills
</li><li>Strong knowledge of industry standards and best practices related to production processes and facilities
</li></ul><div>#LI-AL2</div></div>

Production Engineer

<div>Job Overview:
The Production Engineer applies their conceptual knowledge of Production and, with a moderate level of guidance and direction from colleagues and leadership, is responsible for solving a range of straightforward Production problems. They will be responsible for analyzing possible solutions using standard procedures and building knowledge of the company, processes, and customers. The Production Engineer understands critical business drivers and applies this knowledge to solve problems in straightforward situations by analyzing possible solutions using technical experience, judgment, and precedents.</div>
 <div><div>Our ingenuity fuels daily life. Together, we&rsquo;ve forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably.
 
 
For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries.</div></div>
 <div>Key Tasks and Responsibilities:
<ul><li>Review project scope of work, schedules, and specifications; understand the requirements and deliverables
</li><li>Prepare Scope of Work and Task Listing
</li><li>Review the fabrication schedule and suggest corrections to the planning team
</li><li>Review drawings for constructability and identify any special items/subcontract requirements
</li><li>Review monthly material reports. Ensures and raises problems with material delivery
</li><li>Review the material requisitions prior to the order
</li><li>Check grade, plate sizing assumptions
</li><li>Initiate site queries to utilize available material (substitutions)
</li><li>Provide field guidance and ensure compliance with Company specification
</li><li>Attend production meetings and report concerns
</li><li>Monitor scope changes and Production revision orders
</li><li>Report weekly fabrication progress and monitor production man-hours and productivity
</li><li>Review four weeks look ahead plans and identify the constraints (material/drawings)
</li><li>Coordinate with the construction engineer to ensure procedures are issued timely/ all parties understand any change
</li><li>Coordinate any sub-contract scope
</li><li>Review as-built drawings
</li><li>Coordinate materials movements within the yard
</li><li>Coordinate with shop/erection floor planning to ensure compliance with the project plan.
</li><li>Approve relevant fabrication drawings and review Work Pack deliverables in accordance with Work Pack Index</li></ul></div>
 <div>Essential Qualifications and Education:
<ul><li>Bachelor&rsquo;s Degree in Engineering
</li><li>3+ years of experience in oil and gas with major contractor or consultant
</li><li>Familiar with the content and application of API RP2A, AISC, and AWS
</li><li>Excellent written and verbal communication skills
</li><li>Strong knowledge of industry standards and best practices related to production processes and facilities
</li></ul>#LI-AL2</div>

Furniture industries

Role OverviewMaintenance Engineer role involves installation, troubleshooting, preventive and corrective maintenance, and automation support for machinery. The ideal candidate will have strong technical knowledge of CNC and automated machines (such as HOMAG), PLC troubleshooting, and a proven ability to ensure machine uptime in a fast-paced production environment.Key Responsibilities<ul><li>Install, commission, and calibrate machines, drives, and mechanical/electrical components as per OEM standards.</li><li>Troubleshoot mechanical, electrical, pneumatic, hydraulic, and software issues in semi-automatic and fully automated machines.</li><li>Develop and support PLC programming for machine automation and process improvement if required.</li><li>Plan and execute preventive and corrective maintenance schedules to reduce downtime.</li><li>Maintain machine history records, calibration logs, and preventive maintenance charts.</li><li>Conduct routine inspections and safety checks to ensure smooth and safe operations.</li><li>Perform root cause analysis (RCA) for breakdowns and implement corrective actions.</li><li>Manage spare parts inventory, raise requisitions, and liaise with suppliers for procurement.</li><li>Lead and guide maintenance technicians, ensuring work is carried out efficiently and safely.</li><li>Prepare detailed reports on maintenance activities, inspections, and machine performance.</li><li>Support continuous improvement initiatives to enhance production efficiency and reliability.</li></ul>Requirements<ul><li>Diploma/Degree in Mechanical, Electrical, Mechatronics, or related Engineering field.</li><li>3&ndash;6 years of proven experience as a Maintenance Engineer, preferably in furniture, woodworking, or metalworking manufacturing industries.</li><li>Hands-on experience with CNC machines (HOMAG or similar).</li><li>Strong knowledge of PLC troubleshooting/programming and automation systems.</li><li>Familiarity with hydraulics, pneumatics, and electrical circuits.</li><li>Ability to manage preventive maintenance programs and reduce MTTR/MTBR.</li><li>Strong problem-solving skills and ability to work under pressure.</li><li>Good communication and reporting skills.</li><li>Team management or supervisory experience will be an added advantage.</li></ul>Job Types: Full-time, Permanent

Maintenance Engineer (Manufacturing)

flydubai

<div>MAIN OBJECTIVE OF ROLE: To define and drive the enterprise strategy for extracting business value from data by leveraging advanced analytics, machine learning, and artificial intelligence to generate insights, develop predictive models, foster AI innovation, and integrate ethical and scalable AI into products, services, and decision-making processes that deliver competitive advantage. KEY RESPONSIBILITIES:
<ul><li>Leads the development and implementation of machine learning models, algorithms, and AI systems and explores innovative approaches to solving business problems using AI technologies.</li><li>
Drives continuous process improvement and optimization. by staying informed about advancements in data engineering and AI, recommending new tools and technologies.</li><li>
Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists by providing guidance, support, and professional development opportunities to team members.</li><li>
Develops and executes the organization&rsquo;s data science and AI vision, ensuring alignment with business objectives and measurable outcomes.</li><li>
Identifies, designs, and implements AI and machine learning solutions that enhance products, services, and operational efficiency.</li><li>
Establishes frameworks for responsible, explainable, and bias-free AI use in compliance with regulations and ethical standards.</li><li>
Partners with product owners, business leaders, and data engineering teams to ensure AI initiatives are integrated, scalable, and business-driven.</li><li>
Monitors advances in AI research, tools, and technologies, proactively applying them to maintain competitive advantage.</li><li>
Defines KPIs and track ROI for AI initiatives to ensure value delivery and continuous improvement.</li><li>
Acts as a &ldquo;data translator,&rdquo; bridging technical and business domains to convert complex challenges into actionable AI-driven outcomes.</li></ul>
QUALIFICATIONS:
<ul><li>Bachelor's Degree (3+ years)</li><li>
Degree in Information Technology, Computer Science, Data Science, or related field</li><li>
Fluent in English</li><li>
Deep understanding of data governance, compliance, and security best practices. Excellent understanding of machine learning concepts and algorithms. Proven track record of delivering AI solutions from concept to production at enterprise scale. Strong background in statistical modeling, machine learning, deep learning, and AI productization. Demonstrated success in translating business strategy into AI-driven initiatives with measurable ROI. Experience in regulated industries (e.g., Airline) preferred, with a strong understanding of ethical and compliant AI practices.</li><li>
Years with qualifications: 10 - 12 years</li><li>
Google Professional Machine Learning Engineer, AWS Certified Machine Learning &ndash; Specialty, Microsoft Certified: Azure AI Engineer Associate are an advantage</li></ul>
COMPETENCIES:
<ul><li>Customer Focus</li><li>
Teamwork</li><li>
Effective Communication</li><li>
Personal Accountability &amp; Commitment to achieve</li><li>
Resilience &amp; Flexibility (Can do attitude)</li><li>
Decision Making</li><li>
Inspiring &amp; Developing Others</li><li>
Strategic Thinking</li><li>
Business Acumen</li></ul>
ISR Requirements: Reads and complies with the ISR policies of the Company and diligently reports any weakness or incidents to the respective Line Manager or the Information Security team. Completes all required ISR awareness sessions and follows associated guidelines in the day-to-day business operations.</div>

Senior Manager - Data Science & AI

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

Mammoet

<div>
 
 Summary Of The Role
 
 
 
 <ul>
 <li>
 Engineer
 </li>
 <li>
 Working at Dubai, UAE
 
 
 
 </li>
 </ul>
 Do you excel at solving even the most challenging of problems? At Mammoet we set the bar high in developing the safest, most efficient solutions for our customer&rsquo;s needs. Our engineers are critical to this and have the opportunity to apply their experience and skills to a wide variety of different industries, locations and projects.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Using your expertise to develop best-in-class engineering solutions for heavy lifting and transportation projects
 </li>
 <li>
 Working with both conventional methodologies and developing new approaches
 </li>
 <li>
 Preparing and selecting both existing and renewed engineering statements
 </li>
 <li>
 Developing drawings, calculations, visualizations, manuals, risk assessments and other key documents
 </li>
 <li>
 Ensuring efficient execution that delivers the right results for the customer
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Professional level experience in engineering operation practices and systems, HLT equipment, internal codes and standards
 </li>
 <li>
 English, fluent proficiency verbal and written
 </li>
 <li>
 A bachelor's degree in a mechanical, civil, marine, or equivalent engineering
 </li>
 <li>
 Evidence of experience in a similar role, ideally in any/some of the following sectors: civil engineering, construction, renewables, oil and gas, offshore, ports and mining
 </li>
 <li>
 4-7 years of relevant work experience
 </li>
 <li>
 Willingness to travel as per project's requirement
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Get
 
 
 
 <ul>
 <li>
 Pioneering Innovation: At Mammoet, we push the boundaries of what's possible in heavy lifting and transportation. Our engineers lead the way in developing cutting-edge solutions for some of the most complex projects worldwide.
 </li>
 <li>
 Global Impact: Join a company with a global footprint. Your work at Mammoet reaches far beyond borders, contributing to projects that shape the world's infrastructure and development.
 </li>
 <li>
 Diverse Team, Inclusive Culture: We believe in the power of diversity and inclusion. Our team comprises individuals from various backgrounds, cultures, and expertise. We thrive on the unique perspectives and experiences each team member brings to the table.
 </li>
 <li>
 Career Growth: Mammoet isn't just a place to work; it's a place to grow. We foster an environment that encourages continuous learning, skill development, and career advancement.
 
 
 
 </li>
 </ul>
 
 WANT TO KNOW MORE?
 
 
 
 <ul>
 <li>
 Get in touch - www.linkedin.com/in/manish-kumar2
 </li>
 <li>
 Take a look at mammoet.com
 
 
 
 </li>
 </ul>
 #mammoetcareers
 
 
 #Engineeringjobs
 
 
 #madeformammoet
</div>

Engineer

Explore 1069+ Machine engineer in Dubai this October. Find roles across top companies and apply now to boost your career.

1069 machine engineer jobs IN Dubai

Machine Learning Engineer (Contract - For Immediate Hire)

Production Engineer

Production Engineer

Maintenance Engineer (Manufacturing)

Senior Manager - Data Science & AI

Data Scientist Machine Learner

Engineer