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At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet…
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is…
This role involves leading the end-to-end development of document extraction and natural language processing solutions to improve payment operations. The position requires hands-on expertise in Python, ML frameworks, and cloud-based model deployment within a financial services context.
Senior ML Engineer on the Advanced Analytics team at John Hancock/Manulife, responsible for packaging models, building MLOps/LLMOps infrastructure, and deploying ML and Generative AI solutions for the insurance division using Python, cloud platforms, and containerization.
Machine Learning Engineer building scalable data pipelines, deploying ML models via PyTorch/TensorFlow, and maintaining backend microservices for underwriting workflows on AWS/Azure.
Lead AI Engineer designing, developing, and deploying machine learning and generative AI/LLM solutions using Python, SQL, and deep learning frameworks (TensorFlow, PyTorch, Keras) on cloud platforms like Azure, AWS, and GCP.
The Data Scientist Principal will design and implement AI/ML solutions, including generative AI and LLMs, to support government agency data initiatives. The role involves hands-on development, mentoring team members, and integrating AI technologies into enterprise systems.
The Senior AI Engineer will design and build AI platform capabilities and integrations to automate healthcare payer workflows. The role focuses on connecting AI agents with enterprise applications using Python, cloud platforms, and model context protocols.
Research Associate develops and validates ML-driven weather forecasting models using satellite data to improve accuracy for government clients, collaborating with engineering teams to operationalize research.
This entry-level role involves developing software applications with AI/ML capabilities and building data pipelines for defense-related modeling and simulation projects. The developer will work in a multidisciplinary team using Python, C++, or C# to support sensor characterization and algorithm development.
The Data Scientist will apply machine learning and optimization techniques to solve manufacturing and supply chain challenges at Hyundai Motor Group's innovation center. The role involves analyzing large datasets, building predictive models, and deploying AI solutions to improve operational efficiency.
Develop and maintain large-language model research tools for cybersecurity data using Python, PyTorch, and Huggingface, while writing documentation and collaborating on proposals at a national lab.
Develop and maintain large-language model research tools for cybersecurity data using Python, PyTorch, Hugging Face, and related ML frameworks at a national laboratory.
SRC, Inc. is currently seeking summer 2027 Machine Learning Engineering interns for our Dayton, OH or Syracuse, NY locations who enjoy solving interesting problems using ML. Are you excited about machine learning (ML)…
KPMG is currently seeking a UI Developer (Assistant Manager) Responsibilities: Expert in building large scale secure chat-based web applications Expert is building responsive, accessible, high-performance web…
Our Story At Alight, we believe a company’s success starts with its people. Alight embraces values that come directly from our people – purposeful, human, united and growth-minded – reflecting our inclusive culture and…
Develop and optimize GPU kernels and performance for AI and HPC workloads on AMD GPU platforms, working with C/C++, GPU programming models (HIP/CUDA), LLVM/MLIR compiler technologies, and AI frameworks.
Research, develop, and deploy reinforcement learning algorithms for autonomous driving planning on real-time vehicle platforms, using PyTorch/TensorFlow and Python.
Leads advanced ML/AI initiatives for a fintech company, designing scalable predictive models and driving cross-functional adoption of data-driven solutions.
Lead optimization of ML models (Transformers, LLMs, VLMs) for real-time self-driving on embedded hardware, using quantization, kernel fusion, and profiling to maximize performance under strict compute constraints.
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