Fetching information
Preparing content
Mandatory: AWS MLOps (Primary) Data Science Machine Learning, Python. Extensive experience and understanding of the Dataiku DSS MLOPs capability including automated deploying projects and published jobs into Production.. Experience in using core analytics methods, Predictive Modeling, Machine Learning, Simulation, and Optimization.. Expertise in a variety of machine learning and statistical techniques (clustering, decision tree learning, artificial neural networks, etc.). Understanding of the underlying data systems such as AWS Cloud architectures, PySpark, or SQL is a must.
With a commitment to innovation, the company delivers commissioning, validation, and IT services, empowering clients to achieve operational excellence through cutting-edge technologies like AI and machine learning.. Build and deploy AI / ML models using cloud platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch), ensuring alignment with business objectives.. Proficiency in programming languages such as Python, Java, or Scala, and AI / ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).. Preferred certifications : AWS Certified Machine Learning Specialty, Google Cloud Professional ML Engineer, or equivalent.. Global Practice Architect, FSI, Google Cloud
As the nations largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more.. A Place for Mom is looking for a Staff Machine Learning Engineer to help build practical, data-driven machine learning applications focused in the Engineering space.. This position reports to the VP of Engineering and works directly in the Engineering organization while also working closely with the Data Science team which includes data scientists and machine learning engineers.. Deep understanding of real-time inference systems, streaming data pipelines, model serving services, feature store monitoring and latency optimization for ML & LLM applications Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.. Technical Skills : Expertise in SQL, Databricks, AWS services, Python, Spark and machine learning frameworks such as XGBoost, Scikit, TensorFlow, Keras or PyTorch.
As the nations largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more.. A Place for Mom is looking for a Staff Machine Learning Engineer to help build practical, data-driven machine learning applications focused in the Engineering space.. This position reports to the VP of Engineering and works directly in the Engineering organization while also working closely with the Data Science team which includes data scientists and machine learning engineers.. Deep understanding of real-time inference systems, streaming data pipelines, model serving services, feature store monitoring and latency optimization for ML & LLM applications Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.. Technical Skills : Expertise in SQL, Databricks, AWS services, Python, Spark and machine learning frameworks such as XGBoost, Scikit, TensorFlow, Keras or PyTorch.
Join to apply for the Principal Data Scientist, Artificial Intelligence and Advanced Analytics role at BMO U.S. This role is within the AI and Advanced Analytics team under the Chief Data and Analytics Officer for Risk and Finance.. Developing AI tools using Large Language Models and Machine Learning for predictive modeling, financial analysis, and risk management.. Graduate degree, preferably a PhD in Computer Science, Data Science, or related fields.. Skills in data visualization, wrangling, preprocessing, and data-driven decision making.
Senior Machine Learning Scientist, NLP/LLM page is loaded. Develop innovative and practical natural language processing models and LLM agents for precision medicine.. Work with unstructured clinical notes and reports, structured electronic health record (EHR) data, imaging data, and molecular (DNA and RNA sequencing) data.. PhD or Master's degree with 3+ years of experience or Bachelor's degree with 5+ years of experience in a quantitative discipline such as computer science, artificial intelligence, machine learning, statistics, natural language processing, computational linguistics, information retrieval, computational biology, bioinformatics, applied mathematics, physics, or a related field.. Experience with medical ontologies and controlled vocabularies such as UMLS, SNOMED CT, MeSH, NCI Thesaurus, RxNorm, and HGNC.
As a Machine Learning Engineer at Loop, youll help turn advanced data capabilities into products that make it easier for merchants to run and grow their businesses.. For ML model development and deployment, we use the AWS ML ecosystem, Airflow, Kubernetes, and Fast API, among other tools.. Our backend data infrastructure is supported by Fivetran, dbt, Snowflake, Hex, Secoda, GoodData.. Proficient in Python and familiar with ML libraries such as Scikit-Learn, PyTorch, or TensorFlow.. Knowledge of container technologies like Docker and orchestration tools like Kubernetes.
Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows.. Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems. Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines,. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc.. Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based field
We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team.. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents.. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our softwares ability to accurately and efficiently process partnership accounting and tax documents.. If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you.. 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects
Design and maintain fraud rules and scoring logic for transaction monitoring systems. Ensure alignment with regulatory expectations, model risk governance, and internal audit requirements. Explore and implement new technologies (e.g., graph analytics, behavioral biometrics, NLP) for advanced fraud detection. Strong command of Python, R, SQL, and data science libraries (pandas, scikit-learn, TensorFlow, etc.. Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.)
Broad technical foundation in software engineering and deep learning (through self-study, practical experience, or PhD).. ML: knows the theory and applied side of deep learning, especially computer vision and foundational model architectures (PyTorch, OpenCV, Tensorflow).. Backend: experience designing and building scalable and high availability server-side systems (Python, NodeJS, or Golang).. Cloud: familiarity with DevOps and infrastructure (i.e. Docker, Kubernetes, GPU scheduling) on cloud (i.e. GCP, AWS).. Monitoring: experience with logging systems and monitoring tools such as DataDog, Sentry, and/or CloudWatch
🚀 Publish, present, and patent high-impact findings in AI and machine learning. Conduct cutting-edge research in artificial intelligence, including areas such as natural language processing, computer vision, generative models, and reinforcement learning. Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR, ICLR) is highly preferred. Expertise in machine learning, deep learning, or statistical modeling. Experience with model development using TensorFlow, PyTorch, JAX, or similar frameworks
A company at the intersection of AI and Life Sciences is looking to expand their highly successful AI Research team.. The company is based in the San Francisco Bay Area, but the role may be open to fully remote.. Libriaries: PyTorch, Tensorflow, Scikit-learn, Pandas. Neural Networks: Graph Neural Networks, CNN. Protein Language Models: AlphaFold, etc.
Dare to innovate:We challenge the status quo with creativity and innovation as our true north.. Strong Python skills, with experience in data science and ML libraries such as PyTorch, TensorFlow, or scikit-learn.. Understanding of data processing and ETL workflows; experience with distributed data processing frameworks like Apache Spark is a plus.. Knowledge of MLOps principles, with experience in model versioning, CI/CD, and workflow management tools (e.g., MLflow, Kubeflow, Airflow).. Familiriaty with Databricks is a plus.
Adjunct Faculty in Artificial Intelligence. DePaul's Jarvis College of Computing & Digital Media (CDM) is located in the heart of Chicago's Loop, the central business district of Chicago.. The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering.. Students take courses in core AI concepts and techniques and explore relevant technical areas including natural language processing, big data systems, computer vision, image processing, robotics, and cybersecurity.. We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.
Aon’s Strategy and Technology Group (STG) is seeking a Pricing & Predictive Modeling Actuarial Consultant to join their team and help to accelerate the development of their actuarial advisory business focused on clients in the insurance and reinsurance industries.. Proficiency in statistical software and programming languages such as R, Python, or SAS.. A strong understanding of data science and machine learning techniques for predictive modeling.. Experience in actuarial data-driven predictive modeling (GLMs/GAMs) and risk analysis in a P&C/General insurance pricing role preferred. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself.
Inform digital strategy, website development and digital technology investments through analytics and data science applications.. Masters' or graduate degree in a quantitative field required (mathematics, statistics, engineering, data science, analytics, operations research, economics, etc.). Deep experience and expertise in statistical modeling and machine learning in-industry (regression, classification, clustering, natural language processing, time-series modeling).. Knowledge of database design and logic (e.g. Teradata, Snowflake), with demonstrable ability to build complex queries in SQL.. Preferred experience with digital commerce and web analytics tools such as Adobe Analytics or Google Analytics.