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The Hartford is seeking a Director and Data Engineer within Actuarial to lead data engineers in designing, developing, and implementing modern and sustainable data assets to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
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Key Responsibilities: The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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Qualifications The ideal candidate is an experienced and hands-on expert in the areas of NLP, NLU/Conversational AI and Machine Learning with extensive experience in fine-tuning pre-trained transformer based models like GTP-3 and BERT. We envision our InsightAI product being so successful that it will likely spin out to another company, and a handful of VC have already shown interest.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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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.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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Preferred: Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms. Experience in building and deploying statistical machine-learning models, such as linear regression, logistic regression, GLM, GAM, etc.
$137,500 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas. Our engineering department consists of 200+ people across multiple teams, such as application development, infrastructure, data platform, data science and machine learning, and security.
$173,200 - $290,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Automate data collection and processing algorithms, including the generation of Machine Learning/Deep Learning models for automatic data labeling and anomaly detection. Proficient in data-driven methods, Regression, Neural Networks, Machine Learning and Deep Learning.
$139,100 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn, Deploying and optimizing different pipelines that support various data science processes. · Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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As a Machine Learning Engineer II with CodaMetrix you will help with translating proof-of-concept ideas to product grade solutions. The Machine Learning Engineer II reports to the Director of Architecture.
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Experience with deploying analytics workloads on a platform as a service ( PaaS ) and sof tware as a service ( SaaS ) , including AWS EMR, Redshift, SageMaker, Azure Databricks, SQL Data Warehouse, or Machine Learning service.
$58,300 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with large dataset mining tools and open-source programming tools (e.g., R, Python, HiveQL, Spark) Experience with large dataset mining tools and open-source programming tools (e.g., R, Python, HiveQL, Spark.
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Master’s Degree in Cognitive Science, Data Science/Machine Learning, Statistics, Mathematics, or a related field. Master’s Degree in Cognitive Science, Data Science/Machine Learning, Statistics, Mathematics, or a related field is required.
$180,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
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