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Knowledge of Deep Learning and Machine Learning techniques, and experience in Machine Learning tools, techniques and programming (including LLM - Large Language Models) is a plus.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
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Keywords for search: Python, AI, Machine Learning, Django, Flask, FastAPI, React, TypeScript, JavaScript, AWS, GCP, Full Stack, Back End, Front End, Engineer, Developer, Fintech, Startup.
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We are looking for an engineer with prior advertising/sales/marketing software experience (Hubspot/Salesforce) to help integrate those tools with our core applications (Java/Python) and datastores (Snowflake/MongoDb.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Synechron is looking for a Vertex AI Machine Learning Engineer.
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The Machine Perception Engineer will be responsible for developing and implementing computer vision and machine learning algorithms for automated fashion production processes.
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Requirements: Bachelor’s Degree, or higher-level degree, in Computer Science, Engineering, or related quantitative field that demonstrates knowledge of AI, machine learning, optimization, random processes, sensor signal processing, or mathematical modeling.
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6+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Data scientists are not software engineers, and ML engineers will be expected to refactor their Python or R codes into production-ready code and ensure the models are scalable.
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As a Senior Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Optimize machine learning and relevant data processing code for scale and robustness. Experience with natural language processing or deep learning frameworks such as Tensorflow, Pytorch, or HuggingFace, etc.
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The Role We're looking for a senior machine learning engineer to join our growing world-class engineering team. The role will be responsible for all aspects of our machine learning, including data processing, model development and implementation.
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Prior experience with machine learning libraries and stacks (Pytorch, Tensorflow, OpenCV, Supervision) etc. Experience with machine learning/big data at scale (GPU, Docker and Kubernetes.
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Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. Interested in learning more about drug discovery and machine learning.
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Founding Machine Learning Engineer. Extensive industry experience in machine learning engineering. Background in sensor fusion, geometry processing, 3D reconstruction (NeRFs, splats, photogrammetry), or signal processing , with knowledge of their strengths and limitations.
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machine learning software engineer image processing jobs Company: Services Llc in Jersey City, NJ
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