Fetching information
Preparing content
Skin is more than an organ—it's a living communicator, healer, and protector.. Maintain and enhance a Django-based cloud platform hosted on AWS, utilizing services such as RDS, Timestream, EC2, ECS, and Secrets Manager.. Work closely with the UX/UI designer to take design updates and implement them into the client application.. In-depth familiarity with AWS services such as RDS, Timestream, EC2, ECS, and Secrets Manager.. Experience with machine learning and analytics using tools such as TensorFlow, PyTorch, or scikit-learn to derive insights from healthcare data.
machine learning algorithms, including deep learning, graph-based models, and active learning approaches, to power in silico screening, molecule design, and biological predictions for oncology, neuroscience, and GI² drug discovery. Educational Background: Ph. D. in Computer Science, Data Science, AI, Computational Biology, or related field preferred (or M.S. with significant relevant experience). Computer Science, Data Science, AI, Computational Biology, or related field preferred.. in Python, with experience building on cloud platforms (AWS, Azure, or GCP), and implementing solutions using machine learning frameworks (e.g., TensorFlow,.. Demonstrated ability to implement working solutions that drive drug discovery programs.
Join to apply for the Machine Learning Engineer - Member of Technical Staff role at Conductor Quantum. This role involves designing and implementing machine learning pipelines, developing computer vision models, deploying models to cloud infrastructure, and collaborating with customers and internal teams to develop innovative quantum control solutions.. Design and implement Python-based pipelines for analyzing quantum device data and automating calibration.. Develop machine learning models for real-time optimization, adaptive tuning, and self-correcting systems, utilizing techniques like Bayesian optimization and reinforcement learning.. Deploy ML and CV models to cloud platforms (AWS, GCP, Azure) and build backend services for inference, data streaming, and orchestration.
With a global presence in 40+ countries, Red Hat associates work flexibly across various work environments (in-office, office-flex, fully remote). Job Summary: Red Hat's Global Engineering team seeks an experienced data scientist to join the InstructLab team, contributing directly to their growing AI/ML (artificial intelligence and machine learning) product family. Experience with AI/ML platforms, tools, and frameworks (TensorFlow, PyTorch, LLaMA.cpp, Kubeflow). Experience with Kubernetes/OpenShift, containers, troubleshooting, and YAML. Experience with hardware accelerators (GPU, CUDA, ROCm).
offering managed, cloud-scale Spice.ai OSS along with tools for high-performance SQL, machine learning training, and inference in an interconnected AI backend-as-a-service. Experience with Databricks, Snowflake, Starburst, Dremio, and related products. Familiarity with big data processing frameworks like Apache Spark, Hadoop MapReduce, and Hive. Relevant technical certifications, including those for Databricks, AWS, Snowflake, and/or similar data platforms and technologies. Before co-founding Spice AI, Luke was the co-creator of Azure Incubations in the Office of the Azure CTO, where he led cross-functional engineering teams to create and develop technologies including
Low-Stress Environment: Manageable workloads for a stress-free workday. Stay up-to-date with the latest advancements in AI, natural language processing, and machine learning to improve prompt engineering techniques. Strong understanding of AI, machine learning, and natural language processing (NLP) concepts. Experience with AI prompt engineering or related fields (e.g., chatbot development, language model fine-tuning). Proficiency in programming languages such as Python, with a focus on AI-related libraries (e.g., TensorFlow, PyTorch, Hugging Face).
Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray).. A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with at least 3 years of relevant professional experience is required. Fully remote work will also be considered. Think Tanks, Research Services, and Non-profit Organizations.. Senior Digital Strategist & UX Researcher
The Principal Scientist, Safety Data Science leads the development and deployment of medical safety data models into production. Research, develop, and validate analytical models using leading AI/ML techniques, including supervised and unsupervised learning, deep learning, GenAI and natural language processing (NLP).. Master’s or Doctorate degree in Data Science, Information Systems, Computer Science, Statistics, Mathematics, Bioinformatics or a related field is required.. Experience in cloud environments, specifically GCP services such as BigQuery, AI Platform, and Dataflow, is helpful.. Outstanding problem-solving abilities with attention to detail and rigor in model validation and evaluation
We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster!. You have a PhD degree in computer science, computer engineering, or a related field, with focus in Machine Learning and/or Artificial Intelligence. You are proficient in Python, PyTorch (or TensorFlow), have familiarity with distributed model training recipes and pipeline. You are familiar with Azure Machine Learning (or AWS SageMaker) and other cloud based solutions that can be used as part of an AI ecosystem. Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here.
The machine learning engineer designs, develops and deploys machine learning solutions to meet enterprise goals and support experimentation and innovation. The machine learning engineer ensures infrastructure and data pipelines are structured to deploy machine learning solutions. Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements. Ensures adherence to performance standards and compliance to data security requirements. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
In this role, you will use a combination of machine learning, Simultaneous Localization and Mapping (SLAM), computer vision, and motion planning techniques to enable machines to perceive, learn, and navigate complex environments while avoiding people and obstacles.. Research and develop state-of-the-art machine learning, SLAM, perception, and motion planning algorithms to improve the autonomous navigation system.. Implement new localization, depth perception, computer vision, mission/behavior planning, SLAM, motion planning algorithms.. Write research papers in the field of computer vision, machine learning, SLAM, and/or motion planning.. Experience in deep neural network packages (e.g. TensorFlow, PyTorch) and other existing robotic and navigation libraries, tools, and robotic middleware (such as ROS).
Support the design, development, and integration of machine learning based sensor processing capabilities for a variety of RF system designs and use cases.. Support the design and implementation of advanced AI and machine learning algorithms to enhance sensor perception models, including object detection, classification, and tracking using both supervised and unsupervised methods.. Experience with machine learning, artificial intelligence, and/or computer vision.. Must be eligible to obtain and maintain a U.S. TS clearance.. Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).. Strong understanding and experience in application of Deep Learning models like ANNs and transformers. Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job).. This position will be subject to U.S. export control requirements under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR).. Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here.
1st Edge is a growing business seeking top performers to join in our mission of developing Artificial Intelligence solutions for our Government customers.. Our employees work closely with Space and Missile Defense Command (SMDC), Missile Defense Agency (MDA), and Combat Capabilities Development Command (DevCom).. Lead the development of AI solutions using machine learning, deep learning, natural language processing, and computer vision. Knowledge of Git/Gitlab and virtualization technologies such as Docker. Bachelor of Science/Engineering degree in computer science, computer engineering, software engineering, mathematics, or related discipline
Join Optum Health’s Financial Data Management team as a Manager Data Science and lead a high-impact team at the intersection of advanced analytics and financial strategy.. Use analytics and statistical software such as SQL, R, Python, Hadoop, and others to perform analysis and interpret data. Expertise in programming languages like Python, R, Hadoop and SQL. Familiarity with cloud-based data platforms (e.g., Snowflake, Databricks, Azure). We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life.
2+ years in data analysis or data science, ideally in gaming or related industries.. Proficiency in SQL for data extraction (BigQuery, Snowflake, etc. Expertise in data visualization tools (e.g. Tableau).. Experience with big data tools and cloud platforms (AWS, Google Cloud, Hadoop).. We’re a dedicated team of game developers behind the successful casual mobile games Viola’s Quest and Woka Woka. In 2023, we released NoNo Crossing, our third title – a picture puzzle logic game that’s been picking up steam and capturing hearts ever since.
As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations.. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.). Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.
Includes writing Python, following SDLC best practices, using Git, and creating data products in dbt.. Oversee the design, development, deployment, and maintenance of data products, including dashboards, reports, dbt models, and machine learning models.. Provide strategic direction and oversight for the development of our bespoke LLM-based Customer Support agent.. Data: dbt, Snowflake, PostgreSQL, Sigma, Redash. Special Leave for In Vitro Fertilisation (IVF) and other fertility treatments
Zenith is part of Publicis Media, the #1 media buying network in the Americas and #2 globally.. Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA). Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger.. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive.. If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
Iambic Therapeutics is hiring a Machine Learning Scientist II or Senior to add clinically relevant imaging to our Enchant platform.. You will design and build models that learn from medical images and combine them with multimodal biomedical data to support drug discovery and clinical decision?. Locate and curate clinical imaging datasets (radiology, pathology, microscopy, etc.). PhD with 3+ years (or MS with 5+ years) of industry experience in Computer Vision, Machine Learning, Biomedical Engineering, or related field.. Proficiency in PyTorch or JAX and experience running distributed training on GPUs or cloud HPC resources.