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5 + years on large scale and state-of-the-art machine learning and deep learning technologies. We are currently seeking a Principal Applied Scientist Manager with a robust background in Machine Learning and Weather Science to lead the Microsoft Weather AI Forecast Science Team. Our team is globally recognized as the most accurate weather forecast provider ( press release , official evaluation ) , serving over 1 billion users.
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Machine Learning Engineer. Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models.
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5+ years of experience in a Data Scientist or Machine Learning Engineer role required. Full JD: AI/ Machine Learning Engineer (Data Science Platform) Job Title: Al/ Machine Learning Engineer (Data Science Platform.
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The ideal applicant will understand LLM APIs thoroughly and be an expert in Python (3.9 and higher) using Flask, Django, or Fast API. Experience building ML training pipelines and distinctive machine learning models is a major focus for this role, therefore previous experience is a huge plus.
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We are a well established Defense contractor with deep expertise in Machine Learning and Deep Learning projects for Military and Homeland Security programs. Develop, implement, and optimize cutting-edge machine learning algorithms related to image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR.
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Expertise in predictive analytics including regressions and machine learning techniques. Prior experience with production systems running advanced statistical algorithms and machine learning.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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The ideal engineer will have experience developing APIs, using NodeJS & TypeScript, and have experience with data engineering, anomaly detection, statistics, and machine learning ops. Experience in Data Engineering, Anomaly Detection, Statistics, and Machine Learning Ops.
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Architect and implement scalable and efficient machine learning systems. Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.
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Our Direct client is looking for SR Machine Learning Engineer for Pittsburgh Location. Use machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems.
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Dice is the leading career destination for tech experts at every stage of their careers. Apply via Dice today! Must have AWS certifications (e.g., AWS Certified Solutions Architect). Proficiency in database technologies (e.g., PostgreSQL, MySQL, or NoSQL databases.
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Machine Learning Engineering - Dallas, TX (Hybrid) 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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Ph. D. in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math. Master's degree in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math.
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Machine Learning / Cloud Engineer - Hybrid - TS/SCI. As a Machine Learning Engineer with cloud experience, you willbe responsible for developing and deploying machine learning models to solve complex problems across a cloudinfrastructure that houses sensitive data and models that support mission critical operations.
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Implements technology in the fields of image processing, machine learning, pattern recognition and data mining. We apply Machine Learning and Deep Learning to develop the most accurate diagnostics for our patients and pharmaceutical partners.
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machine learning jobs Company: Dice in CO, Missouri
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