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The Data Science & Analytics team consists of Operations Data Science (ODS), Commercial Data Science (CDS), Artificial Intelligence (AI) & Machine Learning (ML) engineering, and Business Intelligence teams operating in a center-of-excellence model reporting to the Senior Manager, Data Science & Analytics.
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Deep understanding of data mining, machine learning, data modeling, and ONA. Experience with visualization tools and statistical packages (SAS, R, Tableau, PowerBI) and SQL. People Analytics Associate Director is responsible for researching and analyzing workforce needs, perceptions, and behaviors.
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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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8-10 years of experience working as a Software Engineer, DevOps Engineer, MLOps Engineer, or Machine Learning Engineer within a production ecosystem. We are seeking a dedicated Machine Learning Engineer with a passion for data science, to lead and manage our critical Machine Learning and Artificial Intelligence Platform.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
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Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities. 10+ years of software engineering, analytics development or machine learning engineering experience.
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Our laboratory applies computational and machine learning methods to investigate the impact of seizures and abnormal brain activity on outcomes in pigs with cortical impact. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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In this Data Scientist Machine Learning Engineer role, you will be a key contributor on our path towards prescriptive analytics. This is an exciting opportunity for a Data Scientist Machine Learning engineer ready to make a discernable impact on our business by advancing data maturity at SmartSense creating data products that delight our customers.
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As a Lead Machine Learning Engineer, you will develop robust advanced analytics and machine learning solutions that have a direct impact on the business. You'll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development.
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Role Overview: We are looking for a seasoned Principal / Director Machine Learning Engineer with over 10 years of experience in radar and RF signals, video and image processing, or classification, along with deep expertise in real-time signal processing and embedded systems.
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Postdoctoral Fellow – Machine Learning: We are seeking talented and driven postdoctoral fellows with experience in machine learning for image analysis to join the computational team of the Center for Large-Scale Imaging of Neural Circuits (LINC) at Harvard Medical School and Massachusetts General Hospital.
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Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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A track record of successfully collaborating with AI engineering teams to deliver complex machine learning models and production-ready data and analytics products. A PhD in machine learning, statistics, computer science, mathematics, physics, biology, or a related technical discipline and relevant experience in the research and development of artificial intelligence and machine learning based solutions OR MSc with a few years of relevant experience in the research and development of artificial intelligence and machine learning approaches to life sciences applications.
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Experience in understanding business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. Experience with deep learning, data science, and NVIDIA GPUs.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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machine learning analytics jobs Company: Dice in Boston, MA
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