- GE Vernova (Niskayuna, NY)
- …for transparency and scalability. Key Technical Skills: + Strong knowledge of neural network architectures (eg, CNNs, RNNs, Transformers). + Expertise in designing ... scalable, distributed architectures for AI systems. + Strong experience with cloud computing platforms (AWS, Azure, GCP) and containerization (Kubernetes, Docker). + Familiarity with large-scale distributed systems and database technologies. + Experience in… more
- Amazon (St. Louis, MO)
- …optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning - Experience using ... Python and hands on experience building models with deep learning frameworks (ie Tensorflow, Keras, PyTorch, MXNet) - Current, active US Government Security Clearance of TS/SCI. Preferred Qualifications - Masters or PhD Degree in computer science, engineering,… more
- CGI Technologies and Solutions, Inc. (Arlington, VA)
- …of artificial intelligence, large language models, machine learning algorithms, neural networks, and deep learning techniques. - Proficiency in programming ... languages such as Python, R, or Java. - Strong knowledge of AI frameworks and libraries (TensorFlow, PyTorch, Peras). - Knowledge of cloud platforms for AI deployment (AWS, Azure, Google Cloud). - Familiarity with big data technologies and tools (eg, Hadoop,… more
- Amazon (Santa Monica, CA)
- …programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with ... modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected… more
- Merck (Rahway, NJ)
- …development, and application of cutting-edge process modeling including novel deep neural network architectures and especially their combination with physics and ... theory through hybrid methods. Ultimately, through the development, application, and deployment of these capabilities across our multi-modality pipeline, we aim to elucidate a deeper understanding and optimization of our processes and drive enhanced decision… more
- Cognizant (Denver, CO)
- …Neptune for graph database solutions. + Utilize Amazon GNN for graph neural network applications in network topologies. **Agentic AI Integration:** + Implement AWS ... AI agentic layers and frameworks to facilitate autonomous decision-making processes within network operations. **Collaboration and Leadership:** + Work closely with cross-functional teams, including network engineers, data scientists, and operations, to… more
- JPMorgan Chase (New York, NY)
- …Louvian / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph Neural net (Graph Attention Network), Page Rank, Centrality Analysis, Tree ... based Analysis, Outlier Detection Methods, Zero Shot/ Few Shot learning) + Demonstrable experience with graph analytics, graph-based learning, and graph representation/visualization + Experience in graph Database: TigerGraph, Neo4j + Experience in Query… more
- JPMorgan Chase (Wilmington, DE)
- …methods and machine learning techniques: GLM/Regression, Random Forest, Boosting Trees, Neural Network, Clustering, KNN, Anomaly Detection etc. + Strong ability to ... interpret and form a coherent story with complex data and communicate to a wide range of audience with various degree of technical acumen including senior leadership and executives. + Advanced problem-solving skills and exceptional analytical skills.… more
- NVIDIA (Santa Clara, CA)
- …Hands-on practical know-how of how to design, train, and evaluate large neural networks. + Excellent software engineering and design instincts in Python, C++, ... or similar. + Outstanding expertise in biochemistry, drug discovery, molecular biology, chemical engineering, or related fields With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most… more
- Cisco (San Jose, CA)
- …infrastructure. . Understanding and experience with AI/ML (Transformers, Deep Neural Networks, Reinforcement learning, ETL, Data Engineering, Data Processing ... PyTorch, Model Operations, AI Frameworks eg Langchain or similar) . Understanding of hardware accelerators like GPUs and DPUs, including how they are utilized and sized to scale AI infrastructure. **Preferred Qualifications** . Bachelor's degree in computer… more