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Cisco Meraki is revolutionizing how IT administrators manage their infrastructure by providing simple, secure cloud-managed solutions.. As a Lead Machine Learning Engineer , you will leverage rigorous AI/ML methods to deliver value and enable data-driven product development.. Define and implement the AI/ML priorities for the Cisco Network Platform data science team, collaborating with product managers, AI architects, designers, user researchers, and engineering teams.. Familiarity with data processing and ML libraries like Pandas, Scikit-Learn, TensorFlow, Keras, etc.. Knowledge of distributed computing engines (e.g., Apache Spark) and real-time data streaming (e.g., Kafka, Kinesis).
The rapid evolution of Machine Learning (ML) and Artificial Intelligence (AI) is transforming our understanding of distributed computing and data management systems.. The O’Donnell Data Science and Research Computing Institute (ODSRCI) at Southern Methodist University (SMU) invites applications for a Postdoctoral Fellow to conduct innovative research at the intersection of Artificial Intelligence (AI), Machine Learning (ML), and network benchmarking.. Postdoctoral Fellows are part of an inclusive and intellectually vibrant community of internationally recognized scholars across the humanities, social sciences, mathematical sciences, engineering, and business.. We offer the rare confluence of a comprehensive global research institution and a close-knit intellectual enterprise in the liberal arts tradition.. Explore the O’Donnell Data Science and Research Computing Institute at , the AT&T Center of Virtualization at , and SMU at
Research and develop advanced AI and ML tools, particularly in areas such as NLP, generative AI, and predictive analytics, to solve business challenges. Advanced Degree (MS/PHD) in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Hands-on experience with NLP, NLU, NLG, and generative AI technologies. Hands-on experience with ML libraries (Pandas, NumPy, Scikit-Learn, TensorFlow, SciPy). Every day we come together as a diverse community of smart and caring people to deliver exceptional service and expert advice—creating success that lasts.
Join to apply for the Principal Data Scientist - Recommendations, Online Data Science role at The Home Depot. As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team.. Expertise running queries against data (preferably with Google BigQuery or SQL). Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP. Demonstrated mastery in predictive modeling, data mining and data analysis
We are searching for an extraordinary Sr. Compiler Engineer for an exciting and fun role in our Deep Learning Accelerator (DLA/NPU) team.. DLA supports a growing range of deep-learning use-cases, ranging from self-driving cars, smart embedded systems, video game frameworks, and content creation.. Design and maintain the Deep Learning Accelerator compiler for next generation NVIDIA hardware. Experience with deep learning software packages, such as ONNX, PyTorch, and TensorFlow.. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
Our mission is to leverage the power of the private sector to end extreme poverty and boost shared prosperity on a livable planet. Information technology is an integral part of the strategic initiatives for all the Core Business Functions at IFC. Corporate Information Technologies (CIT) Teams provide comprehensive IT support for IFC's Investment & Advisory Services, Financial Operations, Treasury & the Asset Management Company. IFC is seeking Information Officer - Data Scientist & AI/ML Product Manager, based in Washington, DC. As a Data Scientist & AI/ML Product Owner within IFC’s CITAT department, you will play a pivotal role in driving innovation and harnessing the power of data and artificial intelligence to advance IFC’s mission of promoting sustainable private sector development in emerging markets. Master’s degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Proficiency in programming languages such as Python, R, or node, and experience with AI/ML frameworks and tools like TensorFlow, PyTorch, or Scikit-learn.
Singularity AI is leading the new trend in Precision MedicineThe Singularity AI Team is looking for a Senior/Principal Computer Vision Scientist (Multiple openings).. Computer-aided diagnosis based on image processing and computer graphics.. Deep neural network-based natural language processing, multi-modality medical image analyzing.. Professional at deep learning algorithms, familiar with at least one of the deep learning libraries (CNTK, Pytorch, Caffe, Tensorflow, MXNet, etc. Prefer candidates with publications at conferences or journals in computer vision (CPPR, ICCV, ECCV, T-PAMI, T-IP), machine learning (ICML, NIPS, ICLR), and medical image analysis (MICCAI, IPMI, TMI).
Summary TRABUS seeks a highly motivated Machine Learning Engineer to join our dynamic team. The role involves leveraging machine learning algorithms and software engineering to contribute to diverse AI projects related to resource planning for ship maintenance, marine transportation, and climate/environmental informatics. Collaborate with the Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt engineering, computer vision, and NLP tools. Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science. Excellent Python coding skills, ability to handle large datasets, and familiarity with web frameworks like Django and Flask.
The rapid evolution of Machine Learning (ML) and Artificial Intelligence (AI) is transforming our understanding of distributed computing and data management systems.. The O’Donnell Data Science and Research Computing Institute (ODSRCI) at Southern Methodist University (SMU) invites applications for a Postdoctoral Fellow to conduct innovative research at the intersection of Artificial Intelligence (AI), Machine Learning (ML), and network benchmarking.. Postdoctoral Fellows are part of an inclusive and intellectually vibrant community of internationally recognized scholars across the humanities, social sciences, mathematical sciences, engineering, and business.. We offer the rare confluence of a comprehensive global research institution and a close-knit intellectual enterprise in the liberal arts tradition.. Explore the O’Donnell Data Science and Research Computing Institute at the AT&T Center of Virtualization at and SMU at
The rapid evolution of Machine Learning (ML) and Artificial Intelligence (AI) is transforming our understanding of distributed computing and data management systems. The O’Donnell Data Science and Research Computing Institute (ODSRCI) at Southern Methodist University (SMU) invites applications for a Postdoctoral Fellow to conduct innovative research at the intersection of Artificial Intelligence (AI), Machine Learning (ML), and network benchmarking. Postdoctoral Fellows are part of an inclusive and intellectually vibrant community of internationally recognized scholars across the humanities, social sciences, mathematical sciences, engineering, and business. We offer the rare confluence of a comprehensive global research institution and a close-knit intellectual enterprise in the liberal arts tradition. Explore the O’Donnell Data Science and Research Computing Institute at the AT&T Center of Virtualization at and SMU at
Description The Senior Manager, Member-Centric Analytics works with stakeholders to formulate, gauge, and prioritize business use cases by designing experiments, predictive/prescriptive models on large-scale datasets to address them.. The person in this role will use statistics, complex analyses, and machine learning models to drive member value and business success.. Cooperating with the Machine Learning and IT DevOps teams the Senior Manager, Member-Centric Analytics will ensure operationalization and productization of solutions generated at an Enterprise level.. First Tech MAY consider Visa sponsorship for this position, but only for existing H1B (NO NEW).
SummaryOur team leverages advanced Data Science (DS), augmented intelligence (AI) and machine learning (ML) to help better predict our customers’ health outcomes, advance affordability, quality and accessibility of healthcare.. As a Sr. Data Scientist, you will be working on both structured and unstructured data to build ML applications to support various healthcare-related business use cases that will improve our health system.. In addition to collaborating with Data Science Management to establish strategic priorities, you will work closely with Data & Engineering to deliver code that is robust and ready to scale.. The ideal candidate for this role will have strong coding skills (preferably in Python, PySpark), strong knowledge about ML algorithms and NLP techniques, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning.. Have experience in building forecasting model for trend analysisExcellent oral and written communication skillsPrior experience working in the healthcare industry is highly desirableExperience with deploying advanced natural language models and time-series model into production is highly desirableMS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience
The Antitrust Division of the U.S. Department of Justice (DOJ) is responsible for enforcing federal antitrust laws and promoting fair competition in the marketplace.. Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP).. Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes.. Experience with data visualization tools like Power BI, Tableau, or Looker.. Certifications: Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate).
Key products and use-cases powered by ML at Stripe include merchant and transaction risk, payments optimization and personalization, identity verification, and merchant data analytics and insights.. We are also using the latest generative AI technologies to re-imagine product experiences, and are developing AI Assistants both for our customers and to make Stripes more productive across Support, Marketing, Sales, and Engineering roles within the company.. Machine learning is core to Stripe Capital's business-we use information about businesses from their activity within and outside of Stripe and our models to automatically underwrite uniquely tailored financing offers to their needs, which banks are often unable to do.. We are doing so through models with an established performance history, data infrastructure that is Stripe scale, and a strong feedback loop that includes explainability, anomaly detection and a risk portfolio management layer.. What you'll doAs a machine learning engineer for Stripe Capital, you will be responsible for designing, building, training, evaluating, deploying, and owning ML models in production with the goals of providing financing opportunities to as many users as possible while satisfying financial performance goals.
Experience deploying models with MLOps tools such as Vertex Pipelines, Kubeflow, or similar platforms.. Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices.. Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, or related frameworks.. Experience and knowledge in the most recent advancements in Gen AI, including Gemini, OpenAI, Claud and exposure to open-source Large Language Models (LLMs).. Tech Stack - Python, SQL, Docker & Kubernetes, Fast API, Flask, MLOps, Machine Learning, LLM's, LangChain or similar orchestrator, Vector DB or similar, GCP, Google AutoML, Vertex AI & Build toolsWhat We Offer:Competitive base salary with performance-based incentives.
We treat our clients and our colleagues with mindfulness, humility, respect, and integrity.. Provide statistics, machine learning, and business intelligence expertise on projects based on large-scale data.. Assist in data lake, data warehouse and database design and implementation for analytical solutions.. Conduct data mining and exploratory data analysis.. Develop, optimize, validate, and deploy statistical and machine learning algorithms (e.g.
Design & Implement Machine Learning capabilities that improve Autodesk’s eCommerce & Customer platforms, especially the Commerce & Support Assistant (agentic chatbot). Demonstrable experience with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn). SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena. Proficiency with the Python Data Science stack, e.g. Pandas, etc. Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies.
· Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools. · Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e. AWS), to including containerization (i.e. Ducker, Kubernetes). · Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.. e Microsoft Azure and Google Cloud Platform. · CompTIA Security+ certification or equivalent
We are looking for people with proven expertise in machine learning and/or robotics, who are passionate about pushing the boundaries of what is possible. PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Publications at top-tier ML, robotics, or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV). Deep technical knowledge, and research experience in deep learning, reinforcement learning, robotics, or computer vision.
We are looking for people with proven expertise in machine learning and/or robotics, who are passionate about pushing the boundaries of what is possible. PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Publications at top-tier ML, robotics, or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV). Deep technical knowledge, and research experience in deep learning, reinforcement learning, robotics, or computer vision.