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Analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, and predictive modeling. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, and Databricks). Experience with Linux and familiar with concepts of HDA, slate, and docker. Level II Data Scientist is highly skilled across multiple Data Science disciplines. Proficiency in data analysis and visualization tools (e.g., Python, SQL, Tableau).
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).
Ocular Foundry is the most intuitive, data-centric, and fastest platform that lets you label, annotate, version, and deploy your data for training models. With Ocular Bolt , shift from humans in the loop to experts in the loop to supercharge your data labeling and annotation projects. Ocular Is Looking For a Founding Machine Learning Engineer To Work Directly With The Founders To Design And Develop Foundational AI Models For Production. 3+ years experience developing models with Python/Pytorch/OpenCV/PyTorch/TensorFlow. Hands-on experience training AI/LLM’s models for production environments.
In the outskirts of Mexico City, he combined his background of agricultural research and theoretical knowledge with careful experimentation and diligent data collection to run over 6,000 experiments - and he was ultimately successful, kicking off the “Green Revolution” that increased global crop yields by an estimated 44% and earned him a Nobel Prize.. You will develop various skills as a full-stack Data Scientist working on projects end-to-end and build deep domain expertise in the intersection of Data Science and Product.. Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.. Have fluency in SQL, and other statistical programming languages (e.g. Python, R, etc. Have experience building scalable data pipelines and ETL processes with DBT and understand different database structures.
Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others.. The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, as well as experience working with neural radiance fields.. As a member of our team, your work will be critical in advancing our technology and staying at the forefront of innovation in the field of computer vision and machine learning for AR/VR.. Strong background in computer vision, machine learning, and deep learning. Proficiency in Python and experience with deep learning frameworks such as PyTorch
You will be working directly with the Chief Technology Officer (CTO) and collaborating closely with product, operations, and clinical teams to create a robust system that supports real-time patient engagement and helps improve healthcare outcomes. 4+ years of experience in AI/ML engineering, with a focus on NLP, LLMs, and conversational AI. Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.. Familiarity with cloud services (Azure, AWS, GCP), MLOps tools for scalable deployment, and open source LLM models.. Knowledge of HIPAA compliance and other healthcare data privacy standards
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
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).
Build and train deep learning models (e.g., YOLO, RT-DETR) for object detection and classification. Fuse data from RGB, thermal, LiDAR/ToF, IMU, and encoder sensors for real-time perception. Implement advanced image processing (deconvolution, motion isolation, low-SNR detection). 3–6 years of experience in computer vision, robotics perception, or sensor fusion. Hands-on with TensorFlow, PyTorch, and real-time inference tools like TensorRT or OpenVINO
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.
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
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.
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis or a PhD degree. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis or a PhD degree. Experience with large datasets and big data technologies (e.g., BigQuery, Hadoop, Spark). Experience in fraud detection, spam mitigation, or anomaly detection within the online advertising ecosystem.
Provide comprehensive support for analytics & BI initiatives across the CRM team which includes assisting with ETL processes, optimizing data pipelines and troubleshooting data quality issues to ensure the integrity and reliability of analytical insights.. Work closely with data engineering, data science and BI teams to ensure data integrity, accuracy and accessibility for analysis and reporting purposes.. Data visualization tools and BI platforms (Tableau and Power BI) for creating interactive dashboards and reports;. Statistical analysis and modeling techniques, including regression analysis, clustering, and predictive modeling; and. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic.
Lecturer - College of Computing, Data Science, and Society.. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change. CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses. Examples include: Anthropology of Science, Data, and Technology; Artificial Humanities: AI, Language, and Fiction; and Data and Justice. A Ph. D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred.
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.
This position will partner with health care professionals, UF faculty, data science teams, and others to create and deploy advanced data analytics and AI models that address clinical questions related to quality improvement, patient safety, and medical operations.. Develop, train, tune, and evaluate highly performant machine learning and AI models (including deep learning, natural language processing, and other advanced techniques) to address quality improvement and patient safety challenges in a hospital setting, with a focus on handling complex and sensitive healthcare data such as electronic health records (EHRs).. Exceptional Personal and Professional Development Opportunities : Access to UF Training & Organizational Development programs, leadership development, LinkedIn Learning, and more. Gainesville combines historic charm with modern amenities, including a great school system, a lively downtown, and a thriving local culture with farmers' markets and craft breweries.. Advanced knowledge of machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), programming languages (Python, R, SQL), and cloud/HPC environments.
SimIS is currently recruiting for a Data Scientist/Artificial Intelligence (AI) Engineer to design and develop integration architectures for AI solutions within NATO’s wargaming and digital infrastructures.. The role involves advancing NATO’s digital transformation through data exploitation and AI, enabling faster, data-driven decision-making and operational efficiency to meet the challenges of Multi-Domain Operations (MDO).. Contributing to AI integration in NATO’s warfare development efforts and collaborating with wargaming experts.. Master’s Degree or higher in AI/ML/Data Science; BS with significant data engineering experience considered.. Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Role and Responsibilities: As a Core AI Staff Engineer, the successful candidate will be instrumental in developing and deploying cutting-edge machine learning models and software applications to deliver these models.. The ideal candidate: Possesses at least 4 years of experience in machine learning, software engineering, and system architecture, with demonstrated expertise in developing and deploying ML models and building infrastructure for model scaling and pipeline automation.. Is proficient in programming languages such as Python, R, or Java, and has experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).. Is experienced with virtualization and cluster management tools, including Docker & Kubernetes.. Proficiency in programming languages such as Python, R, or Java, C# and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn, Jax).
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.