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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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We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. Title: Senior Machine Learning Engineer. Knowledgeable of various machine learning frameworks, libraries, and packages including Scikit-learn, TensorFlow, Keras, and PyTorch.
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Our client is currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. Research and prototype new technologies to advance the machine learning capability.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or Google Cloud Platform.
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. Strong programming skills in Python and Java; experience with Machine Learning libraries and frameworks.
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The Senior Machine Learning Engineer will work on building AI/ML solutions across a wide range of business applications. - Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency.
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Preferred Experience: Experience with common open-source scientific computing/machine learning libraries (e.g., PyTorch / TensorFlow), containerization, and cloud-native technologies (Docker & Kubernetes) is preferred.
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5-7+ years in industry developing and deploying machine learning models, preferably in NLP, LLM and ideally generative AI domains. The Data Science team works closely with the commercial decision makers, using cutting edge machine learning to shape our understanding of the world's energy markets, identify new opportunities and turn data into impactful decision making.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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As part of the Data Engineering team, the Lead Python Data 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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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Design and implement frameworks and tools to streamline the machine learning process. Work directly with Business domain experts and Data Scientists to develop high quality, reliable, scalable, machine learning systems.
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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.
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Experience in testing, packaging, and deploying machine learning models. Convert research-based machine learning models into production-ready software. Knowledgeable of ML platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow.
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kubernetes machine learning jobs Company: Imubit in Houston, TX
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