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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.
$70 - $80 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
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Clean, preprocess, and transform raw data into a suitable format for machine learning models. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance. Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
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The Reservoir Engineer IV - Machine Learning will perform and lead reservoir engineering technical work for the Permian Business unit working on projects including quantifying reserves and resources and providing reservoir engineering support for efficient development of Civitas’s Permian Assets.
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Experience in core data science and predictive analytics methods: Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g., regression, classification, Time Series analysis: e.g., ARIMA, Traditional machine learning methods: e.g., Random Forest, ensemble model techniques, Optimization: e.g. linear programming.
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Requires three (3) years of experience in: (1) data analysis with Python and Python machine learning packages; (2) creating analytics tools to visualize KPIs in relation to equipment and process engineering; (3) MS Excel Macros and Pivot tables; (4) SQL, Tableau, and Spotfire; (5) knowledge of semiconductor process.
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in NA or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
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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.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Assist in the design, development, and implementation of machine learning algorithms and models to solve specific business problems or improve existing processes. Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions, solve business problems, and create value by leveraging client data.
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Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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As a Senior ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
$135,000 - $209,500 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. In-depth knowledge of Apache Spark, Pyspark and Databricks architecture.
Full-timeExpandApply NowActive JobUpdated 29 days ago
machine learning jobs Title: entry level Company: Vector Marketing in Dallas, TX
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