sales engineer

estimation engineer

mechanical engineer

data scientist

engineering manager

machine learning engineer

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 
 
 Leading Bank - Abu Dhabi, UAE
 
 
 
 
 
 
 
 About the Role
 
 
 
 Join our analytics team at a premier Abu Dhabi bank to drive AI/ML innovation in financial services, developing cutting-edge solutions that enhance customer experiences and optimize business operations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy advanced ML models for banking applications
 </li>
 <li>
 Build and fine-tune generative AI models and RAG systems for enterprise use
 </li>
 <li>
 Conduct A/B testing and model optimization using industry best practices
 </li>
 <li>
 Develop end-to-end ML pipelines using Azure ML/AWS SageMaker
 </li>
 <li>
 Implement prompt engineering strategies for LLM effectiveness
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Minimum 5 years in AI/ML roles
 </li>
 <li>
 Proven ability to design, develop, and deploy advanced machine learning models for diverse, real-world business applications
 </li>
 <li>
 Strong background in model experimentation, validation, and performance optimization using industry-standard techniques
 </li>
 <li>
 Hands-on experience conducting A/B testing and deriving statistically sound insights to inform model and product decisions
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Deep expertise in building and fine-tuning generative AI models tailored to specific use cases and business objectives
 </li>
 <li>
 Practical experience implementing Retrieval-Augmented Generation (RAG) and agentic workflows in production environments
 </li>
 <li>
 Skilled in prompt engineering&mdash;designing, testing, and refining prompts to maximize the effectiveness of large language models (LLMs)
 </li>
 <li>
 Proficient in developing and managing end-to-end machine learning pipelines using platforms such as Azure ML or AWS SageMaker
 </li>
 <li>
 Solid understanding of cloud-based data storage and processing, including Azure Blob Storage, Tables, Queues, and Amazon S3
 </li>
 <li>
 Experience deploying and integrating Azure Foundation Models and Azure OpenAI services into enterprise applications
 </li>
 <li>
 Familiarity with containerization and DevOps practices, including Docker and CI/CD pipelines, for scalable and automated deployments
 </li>
 <li>
 Advanced programming skills in Python, with a focus on clean, efficient, and maintainable code for AI/ML development
 </li>
 </ul>
 
 
 
 
 
 Halian Group
 
 :
 
 
 With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realize tomorrow&rsquo;s potential. Discover the amazing things possible when you bring the right people and the right technologies together.
 
 
 
 
 
 At Halian, we recognize that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organizations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives. We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, enhance collaboration, and better reflect the communities they serve.
 
</div>

Machine Learning Engineer (m/f/d)

First Abu Dhabi Bank (FAB)

<div>
 
 Join the UAE&rsquo;s largest bank and one of the world&rsquo;s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting &amp; dynamic industry.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 ROLE PROFILE:
 
 
 
 
 
 &bull;
 
 Designs and develops scalable machine learning models and AI-driven solutions
 
 to address complex business challenges and enhance decision-making processes
 
 
 
 
 
 KEY RESPONSIBILITIES
 
 :
 
 
 
 
 &bull;
 
 Work with large and complex data sets
 
 to solve challenging business problems
 
 
 
 
 &bull;
 
 Collect, clean, and preprocess large datasets
 
 for analysis &amp; model training
 
 
 
 
 &bull;
 
 Perform exploratory data analysis
 
 (EDA) to uncover insights and inform model development
 
 
 
 
 &bull;
 
 Develop, train, and optimize machine learning models
 
 using state-of-the-art algorithms and frameworks
 
 
 
 
 &bull;
 
 Build end-to-end ML pipelines
 
 , including data ingestion, transformation, model training, validation, and deployment
 
 
 
 
 &bull;
 
 Automate workflows for model training, testing, and deployment
 
 using CI/CD pipelines and MLOps tools
 
 
 
 
 &bull;
 
 Collaborate with cross-functional teams
 
 to integrate models into applications and deliver end-to-end solutions
 
 
 
 
 
 
 Qualifications
 
 
 
 
 &bull;
 
 5+ years of experience
 
 in data science, machine learning, or AI
 
 
 
 
 &bull;
 
 Expertise in supervised/unsupervised learning
 
 , deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
 
 
 
 
 &bull;Strong proficiency in
 
 Python and/or R
 
 ; familiarity with
 
 SQL
 
 for data querying
 
 
 
 
 &bull;Ability to
 
 build data pipelines
 
 (Spark, Airflow, Hadoop) and work with big data tools
 
 
 
 
 &bull;
 
 Understanding of model serving
 
 ,
 
 API development
 
 (FastAPI, Flask), and
 
 optimizing model performance
 
 for real-time or batch inference.
 
 
 
 
 &bull;
 
 Knowledge of Docker, Kubernetes, CI/CD pipelines
 
 , and tools like MLflow/Kubeflow for model lifecycle management (MLOps)
 
 
 
 
 &bull;
 
 Experience deploying models
 
 on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)
 
 
 
 
 &bull;Educational qualifications:
 
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field required
 
 
 
 
</div>

Data Scientist

Cleveland Clinic Abu Dhabi

<div>
 
 JOB SUMMARY
 
 
 The Data Scientist will extract and analyze large datasets from a range of heterogenous business applications, most
 
 
 importantly the electronic medical record EMR. Using statistical, artificial intelligence and machine learning tools and
 
 
 algorithms, the data scientist will discover and offer insights into the data. They will design, develop, build and validate
 
 
 predictive, machine learning and AI models based on requirements and communicate the results in an understandable
 
 
 manner, and once approved by the business, the algorithms and models will be deployed into the production
 
 
 environment.
 
 
 
 
 
 PRIMARY JOB DUTIES AND RESPONSIBILITIES:
 
 
 &middot; Collaborate with the business stakeholders to document the business requirements, anticipated benefits, and
 
 
 success criteria for analytics initiatives
 
 
 &middot; Collaborate with subject matter experts to define the use case and to prepare an exhaustive set of potential features for analysis &middot; Perform feature engineering for optimization and dimensionalityreduction &middot; Perform advanced descriptive and diagnostic analytics (Exploratory Data Analysis) &middot; Perform Data Profiling &middot; Extract, process, clean, and validate quality datasets &middot; Assist data engineers in implementing data pipelines &middot; Conduct Experiment Design &middot; Identify multiple predictive, machine learning and AI algorithms that potentially fit the business case &middot; Write general, reusable code for repeatable analysis &middot; Evaluate and tune the models using various performance and error measures, hyper parameter tuning and cross validation techniques &middot; Select the final model based on performance &middot; Document and present the model findings to the business by explaining the model assumptions and validation methodologies &middot; Deploy the model by integrating it with the EMR or other business applications / systems &middot; Monitor the model for data and concept drift and retrain or tune the model as required &middot; Build visual interfaces with &ldquo;what-if&rdquo; functionality for business user interaction.
 
 
 
 
 
 ROLE LEVEL ACCOUNTABILITIES
 
 
 &middot; Adheres to CCAD&rsquo;s standards as they appear in the Code of Conduct and Conflict of Interest policies
 
 
 
 
 
 In view of the evolving needs and opportunities within CCAD, this position may be required to perform other duties
 
 
 as assigned and reporting relationships may vary.
 
 
 
 
 
 ORGANIZATION-WIDE COMPETENCY ASSESSMENT REQUIREMENTS:
 
 
 All employees will embrace the CCAD mission, vision and values and be responsible for adhering to the core values of the institution, including: Patient&rsquo;s First, Collaboration, Mutual Respect, Quality, Patient Safety, Integrity, Cultural Sensitivity and Compassion. All employees are also expected to meet the standards of performance outlined in the Organization-Wide Competencies listed below as applied to the position. Customer Service Orientation includes attitude, behavior, interpersonal skill and problem solving that enable an employee to respond to internal and external customer needs and expectations in a positive manner. Adaptability including teamwork, flexibility needed to fulfill job responsibilities, adapting to changes in work environment and accepting supervisory feedback. Efficiency and Effectiveness includes quantity and quality of desired work, as well as organization skills necessary to perform successfully. Essential Job Requirements includes adherence to all relevant policies, procedures and guidelines affecting the work environment, as well as maintenance of required competencies and communication skills. Managerial Responsibilities includes overall accountability for assigned work group relative to operational goals, personnel requirements and budgetary constraints.
 
 
 
 
 
 Education Bachelors in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics Masters in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics
 
 
 Experience 5+ years 3+ years
 
 
 Certification and
 
 
 Licensure
 
 
 Professional
 
 
 Membership
 
 
 Job Specific Skills and
 
 
 Abilities &middot; Excellent oral and written communication skills. &middot; Experience with Principal Component Analysis and Linear Discriminant analysis &middot; Experience with Visual Analytics tools &middot; Experience with Correlations, Clustering, Imputation, De-skewing, Normalization and Outlier Analysis &middot; Experience with statistical analysis, Inferential statistics, hypothesis testing, Bayesian statistics, probability theory, Exploratory data analysis, Correlation - Regression analysis, design of experiments, sample size calculation etc. &middot; Experience with extracting data from database management systems &middot; Experience with transformation and cleaning of both structured and unstructured data &middot; Experience with Agile Software Development methodologies &middot; Experience with Software Engineering &middot; Experience in predictive modelling, Time series analysis, machine learning, neural networks, deep learning and reinforcement learning. Deep knowledge of traditional ML concepts such as GLMs, GMMs, SVMs, &middot; Healthcare experience is preferred
 
 
 random forest, regression , decision trees, and boosting. &middot; Experience with AI models, Tensorflow, Open AI, LLMs &middot; Experience with MLOPS, LLMOPS, deploying models into production &middot; Experience with User Interface (UI) development Experience with the following software: &middot; Cloud Platforms: Fabric, Azure, AWS, GCP &middot; Database Management Systems MS SQL Server, Azure Data Lake, Azure Synapse &middot; Data Wrangling: MS SSIS, Azure Data Factory &middot; Statistical Analysis Software: SAS, SPSS, Minitab &middot; Version Control: GitHub &middot; Platform: Databricks, Azure ML &middot; Scripting Language: Python / R and libraries (Pandas, NumPy, Seaborn, Matplotlib) &middot; Query Language: SQL &middot; Other Languages: Spark SQL &middot; AI &amp; ML Frameworks : TensorFLow, Keras , PyTorch , GANs, CNN, Caffe, Scikit-learn, Spark ML &middot; Deployment Software: Docker &middot; Visual Analytics: Power BI, Tableau, Minitab, Excel &middot; UI Tools: Shiny, Power Apps
 
 
 
</div>

TAT IT Technolgies

<div>
 
 Urgent requirement for Data Scientist AI/ML with Banking Experience Required is required for our banking clients in Abu Dhabi ,UAE
 
 
 
 <ul>
 <li>
 Minimum 5 years in AI/ML roles
 </li>
 <li>
 Proven ability to design, develop, and deploy advanced machine learning models for diverse, real-world business applications.
 </li>
 <li>
 Strong background in model experimentation, validation, and performance optimization using industry-standard techniques.
 </li>
 <li>
 Hands-on experience conducting A/B testing and deriving statistically sound insights to inform model and product decisions.
 </li>
 <li>
 Deep expertise in building and fine-tuning generative AI models tailored to specific use cases and business objectives.
 </li>
 <li>
 Practical experience implementing Retrieval-Augmented Generation (RAG) and agentic workflows in production environments.
 </li>
 <li>
 Skilled in prompt engineering&mdash;designing, testing, and refining prompts to maximize the effectiveness of large language models (LLMs).
 </li>
 <li>
 Proficient in developing and managing end-to-end machine learning pipelines using platforms such as Azure ML or AWS SageMaker.
 </li>
 <li>
 Solid understanding of cloud-based data storage and processing, including Azure Blob Storage, Tables, Queues, and Amazon S3.
 </li>
 <li>
 Experience deploying and integrating Azure Foundation Models and Azure OpenAI services into enterprise applications.
 </li>
 <li>
 Familiarity with containerization and DevOps practices, including Docker and CI/CD pipelines, for scalable and automated deployments.
 </li>
 <li>
 Advanced programming skills in Python, with a focus on clean, efficient, and maintainable code for AI/ML development.
 
 
 </li>
 </ul>
 Skills: ml,bank,ai
</div>

Data Scientist AI/ML with Banking Experience

CloudJune Technologies LLC

Senior AI/ML EngineerAs a Senior AI/ML Engineer at AI Factory, you will be a key leader in the entire lifecycle of our strategic AI/ML initiatives, from visionary ideation and rigorous experimentation to secure deployment and impactful scaling across entities. You will be instrumental in architecting and implementing sophisticated AI models, spanning both robust traditional methodologies and cutting-edge generative techniques, strategically leveraging the best of open-source and proprietary technologies. You will collaborate closely with government Business Subject Matter Experts (SMEs), visionary AI product designers, a talented team of Data Scientists and Engineers, and innovative Software Engineers to build robust, scalable, secure, and impactful AI-powered products that directly benefit the citizens, residents and visitors of Abu Dhabi.What You'll Do:&#9679; Design, development, and deployment of advanced AI models and end-to-end pipelines for a diverse portfolio of government applications, encompassing both traditional ML (e.g., classification, regression, time series forecasting, recommendation engines) and state-of-the-art Generative AI (e.g., large language models, photorealistic diffusion models, generative adversarial networks).&#9679; Masterfully work with complex and sensitive government datasets, strategic data preprocessing, insightful feature engineering, and rigorous analysis to prepare data for optimal model training, precise fine-tuning, model calibration and comprehensive evaluation.&#9679; Expertly utilize and potentially contribute to leading open-source AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, and a range of specialized ML/GenAI tools.&#9679; Architect and maintain robust and highly scalable AI pipelines leveraging open-source orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Langchain, LlamaIndex, n8n, MCP), ensuring security and compliance with government standards.&#9679; Proactively experiment with and strategically implement cutting-edge techniques in both traditional and Generative AI, continuously staying at the forefront of the latest research, advancements, and ethical considerations within the field.&#9679; Drive effective collaboration with diverse cross-functional teams, including government Business SMEs, fellow Data Scientists, experienced Data Engineers, innovative Software Engineers, user-centric Experience Designers, intuitive UI/UX Developers, and visionary Product Managers, to clearly define critical problem statements, co-develop impactful AI solutions, and seamlessly integrate AI/ML models into existing government technology ecosystems to significantly enhance business processes and user experiences.&#9679; Contribute significantly to the evolution of our internal AI/ML infrastructure and champion best practices, rigorously promoting code quality, ensuring reproducibility of results, and establishing efficient and secure workflows aligned with government regulations.&#9679; Critically evaluate model performance using appropriate government-centric metrics and proactively implement robust AI safeguard strategies to ensure ethical, transparent, and reliable AI solutions, driving continuous improvement and optimization.&#9679; Thoroughly document methodologies, well-commented code, and clearly articulated results for both technical and non-technical stakeholders within the government.&#9679; Expertly troubleshoot and effectively resolve complex issues related to AI/ML models and critical pipelines in live government production environments, ensuring minimal disruption to essential services.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a closely related quantitative field with a strong analytical foundation.&#9679; A minimum of 3 years of demonstrable and impactful hands-on experience in the end-to-end lifecycle of developing and deploying robust machine learning models or GenAI solutions in a demanding production environment.&#9679; Deep theoretical understanding and significant practical experience in a broad spectrum of traditional machine learning algorithms and techniques, with a proven ability to apply them effectively to real-world problems.&#9679; Strong demonstrated experience with the intricacies of generative AI models and techniques, including practical application of large language models (LLMs), diffusion models, and generative adversarial networks (GANs).&#9679; Exceptional proficiency in core programming languages essential for AI/ML, particularly Python, with a focus on writing clean, efficient, and well-documented code.&#9679; Extensive practical experience with key open-source AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers) and a strong understanding of their underlying principles.&#9679; Proven experience in building and deploying resilient AI pipelines utilizing open-source orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Langchain, LlamaIndex, n8n, MCP, Docker, Kubernetes), with a focus on security and scalability.&#9679; Solid understanding of data engineering principles and substantial experience working with large, complex, and potentially sensitive government datasets and secure cloud-based data platforms (e.g., Azure).&#9679; Proven experience working with a variety of database systems including relational databases (e.g., PostgreSQL, MySQL), vector databases (e.g., Milvus, Pinecone, ChromaDB) and graph databases (e.g., Neo4j, ArangoDB) for modeling and querying complex relationships between entities.&#9679; Exceptional problem-solving and strong analytical skills with a proven ability to effectively translate complex government business requirements into robust and scalable technical AI solutions.&#9679; Outstanding communication and strong collaboration skills, with the ability to clearly and concisely explain complex technical AI concepts and findings to both highly technical and non-technical stakeholders across various government entities.&#9679; A proactive, highly self-driven, and results-oriented attitude with a genuine passion for continuous learning and staying at the absolute forefront of the latest advancements and ethical considerations in the dynamic field of AI/ML.Bonus Points For:&#9679; Proven experience implementing and leveraging AIOps practices and tools within a production environment.&#9679; Specific familiarity with the unique challenges and opportunities within the government sector or relevant industry domains within Abu Dhabi.&#9679; Hands-on experience with distributed training and efficient inference techniques for large-scale AI models.&#9679; Contributions to the open-source AI/ML community or publications in relevant AI/ML conferences or journals.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Python, TensorFlow, PyTorch, and cloud platforms: 5 years (Required)</li><li>AI ethics, data privacy, and MLOps: 3 years (Required)</li><li>AI/ML development : 5 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

Senior AI/ML Engineer

Etihad

<div>
 
 Synopsis
 
 
 
 We are looking for a detail-oriented Data Scientist to help unlock the power of data to drive smarter decisions and innovation. As a data scientist, you&rsquo;ll transform complex data into actionable insights, build predictive models and help shape data driven strategies that make a real impact.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Deliver actionable insights and predictive models that inform strategic decision making
 </li>
 <li>
 Ensure data science models are robust, explainable, and aligned with business objectives.
 </li>
 <li>
 Maintain data quality and integrity throughout the data lifecycle
 </li>
 <li>
 Collaborate across teams to embed models into production environments
 </li>
 <li>
 Uphold ethical use of data, ensuring compliance with governance, privacy, and regulation
 </li>
 <li>
 Collect clean and pre process large data sets from various structured sources
 </li>
 <li>
 Perform exploratory data analysis (EDA)
 </li>
 <li>
 Develop and validate statistical models
 </li>
 <li>
 Build data visualisation using matplotlib, seaborn, Plotly or BI tools such as Tableau
 </li>
 <li>
 Expericnce with MS Aure cloud platforms and Databricks
 </li>
 <li>
 High proficiency in coding languages of SQL, Python
 
 
 </li>
 </ul>
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 4+ years of experience in a data science or similar role.
 </li>
 <li>
 University degree, technology certifications advantageous .
 </li>
 <li>
 Experience following the Scrum methodology (certification is desirable)
 </li>
 <li>
 Great communication skills
 </li>
 <li>
 Familiar with Machine Learning
 
 
 </li>
 </ul>
 
 About Etihad Airways
 
 
 
 Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world&rsquo;s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad&rsquo;s codeshare partners, Etihad&rsquo;s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad&rsquo;s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!
 
 
 To learn more, visit etihad.com
 
 
 
 Recruitment Fraud Alert
 
 
 
 Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
</div>

GE Aerospace

<div><h1 class="jobSectionHeader">Job Description Summary</h1><h1 class="jobSectionHeader">
Job Description</h1><div></div><div><div><div><div><div><div><div><div>
Company Overview:
Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!</div></div></div></div></div></div></div></div>
Site Overview:
For over 40 years, GE Aerospace has had a significant presence on the ground in the United Arab Emirates. With offices in Abu Dhabi and Dubai Airport Freezone; an On Wing Support Center; partnership engineering, testing, and Maintenance, Repair, and Overhaul facilities across the country; and the Middle East Technology Center focused on solutions for the region&rsquo;s hot &amp; harsh environment. In addition to career opportunities, our sites offer a culture focused on respect for people and giving back to the community through grants and philanthropic programming.
Role Overview:
Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world&rsquo;s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
What You will Do<ul><li>
Develop technical solutions for engineers to evaluate and adopt data and AI solutions.</li><li>
Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems</li><li>
Build and present product architectures, write technical code, and demo applications to stakeholders.</li><li>
Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value</li><li>
Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods</li><li>
Use your strengths to support team members and build cross-functional relationships across the company.</li><li>
Work to ship solutions to production that meet business needs and drive impact.</li></ul>
Our culture thrives on innovation, diversity, and deep collaboration. You&rsquo;ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
Required Qualifications:<ul><li>
Graduate or pursuing a bachelor&rsquo;s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.</li><li>
Minimum 3.7 cumulative GPA off a 4.0 scale without rounding</li></ul><ul><li>
Strong academic performance in Computer Science or other STEM disciplines</li><li>
Experience designing AI solutions and architecting distributed data systems</li><li>
 Proficiency in programming and debugging with Python, C#, C++, and SQL</li><li>
Customer-centric mindset with ability to lead design thinking workshops</li><li>
Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision</li><li>
Experience building solutions using public cloud platforms such as AWS or Azure</li><li>
Preferred but not required: AWS and/or Azure certification</li><li>
No prior work experience required</li></ul>
About The Internship<ul><li>
Time: Winter (Full-time) and Spring (Part-time)</li><li>
Location: Remote</li><li>
Paid Internship</li><li>
Travel Opportunities</li><li>
Real-world project ownership</li><li>
Mentorship from experienced engineers</li><li>
Opportunity for return offers</li></ul>
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
<h1 class="jobSectionHeader">Additional Information</h1><div><div><div><div><div><div><div>
Relocation Assistance Provided: No</div></div></div></div></div></div></div>
#LI-Remote - This is a remote position</div>

Artificial Intelligence Intern

Explore 543+ Machine learning engineer in Abu Dhabi this September. Find roles across top companies and apply now to boost your career.

543 machine learning engineer jobs IN Abu Dhabi

Machine Learning Engineer (m/f/d)

Data Scientist

Data Scientist

Data Scientist AI/ML with Banking Experience

Senior AI/ML Engineer

Data Scientist

Artificial Intelligence Intern