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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. AWS, AlienVault, Azure, Bash, Confluence, EKS, GSuit, Github, Golang, HTML, Hashcat, JIRA, JWT, Java, Javascript, Jenkins, Kubernetes, Metasploit, New Relic, Nmap, NodeJS, OWASP, Okta, PCI-DSS, PagerDuty, Python, Rails, Ruby, SAML, SQL, SQLMap, SignalScience, SignalSciences, Slack, Snyk, Sumologic, tenable.io, Twistlock, TypeScript, Wireshark, tcpdump.
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As a Machine Learning DevOps Engineer, you will play a key role in the DevOps and ML space, ensuring the successful delivery of these innovative features. We are urgently seeking a Machine Learning DevOps Engineer to support a critical initiative aimed at enhancing our marketing technology with new features.
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Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create powerful analytics using machine-learning and behavioral analysis tools.
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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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Apply advanced principles, theories, and concepts in the realm of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Deep Learning (DL), Generative AI, Transfer Learning, and Reinforcement Learning algorithms to cyber data sets.
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Develop insights, methods or tools derived from large datasets using various analytic methods such as predictive modeling, clustering, text mining, machine learning, statistical forecasting, optimization, simulations, and visualization techniques.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Our transformative solutions are powered by artificial intelligence, machine learning, learn from new insights, and rapidly seize new opportunities.
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If you are a skilled AI Machine Learning Engineer looking for a challenging and rewarding opportunity, we encourage you to apply! As an AI Machine Learning Engineer, you will be responsible for developing, testing, and implementing machine learning algorithms and models to solve complex problems and improve business outcomes.
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They are reducing the cost of building LLM. They are hiring a Founding Machine Learning engineer. Their model router comes out of NLP research and they raised $9M from the likes of General Catalyst (Stripe, Airbnb) and NEA (Databricks, Salesforce.
$100,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Computer Vision/Machine Learning Engineer, you'll be instrumental in developing robotic welding solutions. Computer Vision/Machine Learning Engineer. Collaborate with teams to design and conduct experiments to evaluate deep neural networks and machine learning systems, focusing on deep learning techniques.
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
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Practical cloud native experience in AWS (EC2, S2, Glue, AWS Lambda, Athena, RDS, SNS), proficiency with Python, PySpark, Machine Learning disciplines. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking division, your role involves being a key contributor to an agile team, designing and delivering secure, stable, and scalable technology products that lead the market.
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In this position you will be engaged on projects that will ultimately use the data for various analytics techniques, such as optimization, forecasting, machine learning, predictive maintenance, visualization, and statistical analysis to develop solutions that help deliver significant value to customers.
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machine learning engineer jobs in Ohio, OH
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