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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Deep Learning Ninja: Proven experience in designing and implementing machine learning solutions utilizing GCP and various algorithms (e.g., TensorFlow, PyTorch). As a Machine Learning Engineer specializing in Google Cloud Platform (GCP), youll lead the charge in developing and deploying cutting-edge solutions that extract valuable insights and drive tangible business outcomes.
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Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses around the globe elevate their results. You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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We are a global law firm with a powerful strategic focus and real momentum.
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The role requires a strong background in either Computer Science or Electrical Engineering, along with extensive experience in Machine Learning, including neural networks and deep learning algorithms.
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Python, and Matlab-Simulink and have developed software from architecture to production-level code in software, machine learning, and perception environments. Academic background in Applied Mathematics, Machine Learning, classical Computer vision, Image recognition, and Perception systems.
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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
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What We're Looking For Minimum Requirements 8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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The Clinical Biomarkers & Diagnostics (CBD) department at Company is looking for a highly motivated Computational Biologist with expertise in causal machine learning models and the development of predictive signatures from multi-omics and multi-modal biomarker data to enable clinical biomarker discovery and development.
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Second Spectrum is looking for a Machine Learning Engineer to join our Artificial Intelligence group to develop advanced ML-based sports data products. The Role: Machine Learning Engineer.
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Experience developing/training and maintaining models in multiple genres of Advanced Analytics: machine learning, deep learning, optimization/prescriptive modeling, NLP/text analytics, cognitive/generative AI.
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The URBS-lab focuses on the development and application of machine learning, artificial intelligence, and statistical methodologies targeting a variety of domains and data types within biomedical research.
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AI, machine learning, data analytics, cloud computing, commerce, platform integrations). Who we help: Our 650+ digital specialists have helped global companies like Kraft Heinz, Moderna, Lululemon, Games Workshop, Atlassian, and The Very Group create business impact.
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Utilize Databricks for big data processing, analytics, and machine learning workflows. Proficient in data engineering roles with a focus on AWS and Databricks. Utilize Databricks for big data processing, analytics, and machine learning workflows.
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The Data Scientist role on the Marketing Optimization Analytics team is responsible for building end-to-end Machine Learning based Analytic Data Products that will directly impact short-term and long-term marketing strategy.
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machine learning jobs in Los Angeles, CA
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