Machine Learning Engineer
2 weeks ago
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 KuwaitMandatory Skills Description:- 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 dataTechnical 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 modelsNice-to-Have Skills Description:- 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 applyEducational 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
-
Machine Learning Engineer
3 weeks ago
Delhi, India Spydra Full timeJob Summary: We are seeking a talented and motivated Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development. You will be responsible for designing, developing, and deploying machine learning models and systems that drive our products and...
-
Machine Learning Engineer
2 weeks ago
Delhi, India Whatjobs IN C2 Full timeDesignation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: - Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. - Training & Evaluation : Train and evaluate models...
-
Machine Learning Engineer
2 weeks ago
delhi, India ThoughtSol Infotech Ltd. Full timeDesignation: - ML / MLOPs EngineerLocation: - Noida (Sector- 132)Key Responsibilities:• Model Development & Algorithm Optimization: Design, implement, and optimize MLmodels and algorithms using libraries and frameworks such as TensorFlow, PyTorch, andscikit-learn to solve complex business problems.• Training & Evaluation: Train and evaluate models using...
-
Machine Learning Engineer
2 weeks ago
Delhi, India ThoughtSol Infotech Ltd. Full timeDesignation: - ML / MLOPs EngineerLocation: - Noida (Sector- 132)Key Responsibilities:• Model Development & Algorithm Optimization: Design, implement, and optimize MLmodels and algorithms using libraries and frameworks such as TensorFlow, PyTorch, andscikit-learn to solve complex business problems.• Training & Evaluation: Train and evaluate models using...
-
Machine Learning Engineer
3 weeks ago
Delhi, India Animaker Inc. Full timeMachine Learning Engineer Job DescriptionJob Title: Machine Learning Engineer – Creative Video SolutionsExperience - 3+ YearsJob Description:We are seeking a Machine Learning Engineer with a creative mindset and technical expertise to join our R&D team. This role bridges the gap between cutting-edge AI advancements and creative video solutions. The ideal...
-
Machine Learning Engineer
2 weeks ago
Delhi, India ThoughtSol Infotech Ltd. Full timeDesignation: -ML / MLOPs EngineerLocation: -Noida (Sector- 132)Key Responsibilities:•Model Development & Algorithm Optimization : Design, implement, and optimizeMLmodels and algorithmsusing libraries and frameworks such asTensorFlow ,PyTorch , andscikit-learnto solve complex business problems.•Training & Evaluation : Train and evaluate models using...
-
Machine Learning Engineer
2 weeks ago
New Delhi, India Capgemini Full timeAIML EngineerYour Role- Must have experience with Machine Learning Model Development - Expert Level Proficiency in Data Handling (SQL) - Hands-on with Model Engineering and Improvement - Strong experience in Model Deployment and ProductionlizationYour Profile- 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models...
-
Machine Learning Engineer
4 days ago
New Delhi, India Capgemini Full timeAIML EngineerYour Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and ProductionlizationYour Profile 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across...
-
Machine Learning Engineer
11 hours ago
New Delhi, India techjays Full timeWhat makes Techjays an inspiring place to workAt Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful...
-
Machine Learning Engineer
3 weeks ago
Delhi, India OWOW Full timeAbout the Role:We're seeking experienced Machine Learning Engineers and Software Engineers with ML experience to design and build high-quality RL training environments for LLM agents. As an RL Environment Engineer, you'll create diverse machine learning tasks that challenge and improve language models, working with minimal supervision to deliver...
