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Project description We are seeking a skilled Machine Learning Engineer to develop and deploy Graph Neural Network (GN...

Remote Machine Learning Deep Learning Ai

$118k* · Senior Fully remote

About Us: Bluesky's mission is to transition the social web from platforms to protocols. We're building a federated s...

Engineer Ai Machine Learning Python

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What you'll do: Fine-tune and deploy open source NLP models like Falcon, Whisper, MPT, etc. Understand and implement ...

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Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' tech...

3d Ai Engineer Machine Learning

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Company Description Founded in 2002, Saince is a US corporation based in Alpharetta, GA, serving hospitals of all siz...

Scientist Ai Remote Fulltime

$115k - $117k* · Senior Fully remote

Note: The job is a remote job and is open to candidates in USA. VySystems is seeking an Azure Artificial Intelligence...

Remote Architecture Ai Fulltime

$112k - $129k* · Senior Fully remote

About the position Responsibilities Build the next generation of Multimodal Grok that excels at reasoning and tool us...

Research Ai Engineer Education

$140k - $154k* · Senior Fully remote

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Note: The job is a remote job and is open to candidates in USA. DestinationNova is a social impact startup committed ...

Remote Research Unpaid Ai

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Python Engineer (Generative AI) Location: Remote Role Overview: As a Python Engineer with Generative AI expertise, yo...

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Fisec Global, is...

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We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of...

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We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of...

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We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of...

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We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of...

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We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of...

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Company Description Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn...

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Amazon Pro Serve - MLOps Location: Remote Duration: 6+ Months Interview Process: Video Tax Terms: W2 Only, Visa: U.S....

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Architect scalable, high-performance AI/ML solutions for predictive maintenance, and real-time analytics. Develop AI ...

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Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' tech...

Executive Engineer Machine Learning Ai

$260k - $300k* · Senior Fully remote

At Tether, we're committed to making advanced AI technologies more accessible. Thanks to its investment in AI infrast...

Remote Ai Engineer Tensorflow

$87k - $110k* · Senior Fully remote

JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below) LOCATION: Remote - Global (TimeZone: EST |...

Remote Dev Ai Python

$104k* · Senior Fully remote

At Hike, we’re building the Rush Gaming Universe 🎮 📲 💰To know more, check out work.hike.inWhat we're looking for 👨‍💻 ...

Remote Full Time Senior Ai

$45k* · Senior Fully remote

Selected role

Machine Learning Engineer (onsite work in Kuwait)

Luxoft EG

$118k Senior Full-time

Project description

We are seeking a skilled Machine Learning Engineer to develop and deploy Graph Neural Network (GNN) based surrogate models that approximate complex physics simulations for oil & gas pipeline and well networks. This is a hands-on role for someone who can build high-fidelity neural network models that replace computationally expensive reservoir and network simulators (Nexus, Prosper).

Responsibilities

Design and implement Neural Network architectures to model flow dynamics in interconnected pipeline networks

Build surrogate models that accurately predict pressure distributions, flow rates, and network behavior under varying operational scenarios (training data is acquired through running simulations of the physics models)

Create data pipelines to extract network topology and simulation results from physics-based models (Nexus/Prosper) and transform them into graph representations

Develop training frameworks that incorporate physics constraints (conservation laws, pressure-flow relationships) into neural network loss functions

Collaborate with petroleum engineers to ensure model predictions align with physical behavior and operational constraints

Implement model monitoring, validation, and continuous improvement workflows

Business trip to Kuwait for first 6-12 months. On-site

Skills

Must have

Strong expertise in Graph Neural Networks (GCN, GraphSAGE, Message Passing Networks) with proven implementation experience

Deep understanding of deep learning frameworks (PyTorch Geometric, DGL, or TensorFlow GNN)

Experience building surrogate models or physics-informed neural networks (PINNs) for engineering applications

Proficiency in Python and scientific computing libraries (NumPy, SciPy, Pandas)

Demonstrated ability to work with complex data structures (graphs, time-series, spatial data)

Understanding of optimization techniques and handling large-scale training data

Technical Domain Knowledge:

Understanding of graph theory and network analysis

Experience with data structures and graph representations (adjacency matrices, edge lists, sparse tensors)

Knowledge of hyperparameter tuning, model building and uncertainty quantification in ML models

Ready for a long term business trip to Kuwait for first 6-12 months

Nice to have

Background in petroleum engineering, process engineering, or fluid dynamics

Familiarity with reservoir simulation or pipeline hydraulics

Experience with MLOps practices and model lifecycle management

Publications or open-source contributions in graph ML

Experience deploying ML models in production cloud environments (containerization, API development)

Industry Experience:

Oil & gas industry experience is a strong plus, However, candidates with relevant surrogate modeling experience from other engineering domains encouraged to apply

Educational Background:

MS/PhD in Computer Science, Computational Engineering, Applied Mathematics, or related field preferred

Strong mathematical foundation in linear algebra, graph theory, and numerical methods

Understanding of graph theory and network analysis

Other

Languages

English: C1 Advanced

Seniority

Senior

Remote Egypt, Egypt

Req. VR-118735

AI/ML

Cross Industry Solutions

20/02/2026

Req. VR-118735

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