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Design and develop well architected web applications, 3-tier client-server systems, back-end processing, data pipelines, genomic pipelines and APIs (i.e. REST APIs) for predominantly on-premises, and Azure, AWS cloud environments with application security and data privacy including Authentication, Authorization and Access Control.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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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.
$163,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Ideal candidates will also have experience in statistical signal processing and its application to sensor data or experience leveraging the latest techniques in deep learning for computer vision.
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Optimize machine learning and relevant data processing code for scale and robustness. Experience with next generation architectural concepts, including Integrations, advanced analytics, cloud analytics, big data, artificial intelligence, and/or machine learning.
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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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Experience with machine learning, specifically in the domain of natural language processing (NLP). As a key member of the Standardized Operations and Analytics group, this position will have a keen interest in applying statistical analysis, data mining, and incorporation of machine learning and predictive analytics into real-world operational processes, especially in forecasting, staffing optimization, and process design.
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Database and data processing pipeline experience (we work with MySQL, MongoDB, DynamoDB, S3, RabbitMQ and Snowflake, and tools like Hightouch, Airflow, and Tableau). 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 role will be responsible for all aspects of our machine learning, including data processing, model development and implementation. The Role We're looking for a senior machine learning engineer to join our growing world-class engineering team.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Work with our analytics and machine learning teams to deliver new data insights and optimize our virtual power plants. Database and data processing pipeline experience (we work with Postgres, MySQL, MongoDB, DynamoDB, S3, RabbitMQ, and Snowflake.
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Experience applying machine learning or other signal processing techniques to noisy sensor data in real-time, interactive applications (e.g., IMU, cameras, EMG) PhD with 3+ years of experience in Deep Learning, Robotics, Statistics, Computer Science, Signal Processing, or a related area.
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machine learning software engineer data processing jobs Company: Evolutioniq in New York
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