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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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Skills Required: Python Machine Learning Scala Apache Spark Reinforcement Learning AWS. About the Job: I am representing an innovative and rapidly growing company that is seeking a highly skilled Machine Learning Engineer.
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Ability to think critically and leverage domain expertise to build machine learning powered libraries/infrastructure that help to achieve high-level business objectives. We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc.
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Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI. Many CHALLENGING and exciting projects with new opportunities and learning.
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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As a Machine Learning Engineer, you will contribute to the development and implementation of cutting-edge machine learning models and algorithms to optimize inventory management, supply chain efficiency, marketplace growth, or CV/NLP (depending on the team.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost-effectiveness. Strong proficiency in developing machine learning models using Python machine learning packages, Azure Databricks, and other Azure technologies.
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Role: Machine Learning Engineer. Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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Architect scalable and maintainable microservices using Scala, Java, or Python to support machine learning workflows. The ideal candidate will have extensive experience in developing end-to-end machine learning applications and possess a strong background in designing and implementing microservices using Scala, Java, or Python.
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BCforward is currently seeking a highly motivated Data Science/Machine Learning developer for an opportunity in Jersey City, NJ. Position Title: Data Science/Machine Learning developer.
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As a Senior Machine Learning Engineer, you will be building a platform that accelerates drug discovery with machine learning for a wide variety of use cases with respect to data modality, model architecture, and model size.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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machine learning jobs Title: entry level Company: Vector Marketing in RI, France
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