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Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
$76,224.72 - $113,633.52 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The Data Scientist responsibilities include conducting all the steps of the data mining lifecycle with an emphasis on applying their expertise in math, statistics and building machine learning models.
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Apply data mining, NLP, and machine learning to real-world problems and datasets. Extensive hands-on expertise in machine learning (Supervised/Unsupervised, Causal, Bayesian, Reinforcement, or Deep Learning.
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Employ advanced analytical techniques, such as statistical modeling, data mining, and machine learning, to extract meaningful patterns and correlations. Evaluate and recommend AI technologies, such as robotic process automation (RPA), natural language processing (NLP), and machine learning (ML), to optimize repetitive tasks and decision-making processes.
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Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. 3+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Our earliest products power federated machine learning missions for clients in several industries, where data privacy, low latency serving, and low cost of data storage are important to the client.
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Seeking a Machine Learning Engineer with expertise in developing, deploying, and managing ML models using Google Cloud's Vertex AI. Google Cloud Professional Machine Learning Engineer certification is preferable.
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Experience working in Data engineering and ETL teams and on managing implementation projects that utilize big data, advanced analytics and machine learning technologies. Data Visualization Solutions: MS Power BI, Looker, Tableau, Azure Streaming Analytics, Data Lake Analytics, Azure Time Series Insights, Azure Synapse Analytics.
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4+ years of Data Science and Machine Learning experience required. Strong experience with NLP (Natural Language Processing), scripting and automation of data extraction, data mining, transformation, and modeling outputs using Python, TensorFlow, GCP Services etc.
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6+ years of relevant experience across machine learning engineering, software engineering, data scientist, or data engineering roles (3+ years in data and/or machine learning focused roles.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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As a Machine Learning Engineer, you'll be responsible for designing, developing, and managing the platform and framework that facilitates automated, data-driven decision-making. You'll collaborate with Data Scientists to design tools to source data from across the Organization and deploy machine learning services at various decision points across the business process.
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machine learning data mining jobs Title: technology intern
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