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Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry. Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud.
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And familiarity with relevant frameworks and libraries for AI and big data, such as TensorFlow, Apache Spark, Databricks or Snowflake. Strong background in artificial intelligence and machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch, for evaluating advanced document processing algorithms and models.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Tensorflow. SynergisticIT continues to work with hundreds of satisfied American clients with our software programmers working on our projects and after gaining hands on experience on cutting edge technologies moving to contribute their skills to great clients like Apple, Google, Client, Ebay, Paypal, Kroger, the Walt Disney Company and hundreds more.
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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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Data science, machine learning, optimization models, PhD 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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau. Leverage a broad set of modern technologies including Python, R, Scala, and Spark to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
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Experience working with data science tools and frameworks (e.g., TensorFlow, scikit-learn, PyTorch) is a plus. Develop frontend interfaces and user experiences using modern web technologies such as HTML, CSS, JavaScript, and frontend frameworks (e.g., React, Angular, Vue.js.
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Proven experience with large scale distributed & cloud-based technologies such as Kubernetes, Kafka, MySQL, Databricks, Containers, Snowflake, Splunk, Elastic, and Hadoop. Develop and execute a data engineering architecture for document AI engineering projects to streamline documentation classification, extraction, enrichment workflows, reducing manual efforts, and improving efficiency.
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4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. 3+ years of experience of working with DataBricks, SnowFlake, or other data warehouse and data lake products and technologies.
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Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc. Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). Excellent understanding of data mining, predictive modeling, and data visualization.
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Experience with deep learning frameworks such as TensorFlow or Pytorch. React, Vue.js or similar. Experience with database systems such as Elasticsearch, DynamoDB, Aurora, BigQuery, Postgres, Cassandra, Redis.
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At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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Experience with advanced analytics using Python, and proficiency in libraries such as matplotlib, pandas, numpy, scipy, sklearn, Keras, TensorFlow etc. as well as other data architectures such as data lakes, BigQuery, FHIR store, HL7 store etc.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Need to have experience with at least one of these machine learning libraries: PyTorch, Keras, TensorFlow. Since 1937, PerkinElmer has served as a trusted partner in laboratory analysis and management and today complements its service offerings with a broad portfolio of atomic spectroscopy, molecular spectroscopy, and chromatography instruments, consumables, and reagents.
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