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Utilize programming languages/Frameworks like Java, Spring, JavaScript,HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Splunk, Test Automation Tools, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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8+ years of experience in the following: Java,Spring, JavaScript, TypeScript, SQL, Python, Go. 3+ years of experience in open source frameworks. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics.
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Strong technical knowledge: Unix/Linux; Database Sybase/SQL/Oracle), Java, Python, Perl, Shell scripting, Infrastructure. Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
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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 Overseer: Lead the architectural design and optimization of robust, scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks. Bachelor's Degree in Computer Science, Data Science, Information Technology or other quantitative disciplines such as Science, Statistics, Economics, or Mathematics.
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Education: Master's Degree in Computer Science, Data Science, Information Technology or other quantitative disciplines such as Science, Statistics, Economics, or Mathematics.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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PhD or equivalent, with a focus on polymer chemistry, organic chemistry, molecular biochemistry, materials science, or a related discipline. OXMAN is seeking a Materials Scientist to join an all-star interdisciplinary team of deep thinkers and brilliant makers.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Experience using the Python data science/ML stack in a collaborative development environment using version control tools (git). Academic training in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Bioscience, or Engineering.
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At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles.
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Knowledge of working with any of these technologies would be highly beneficial: Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Computer Vision.
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Demonstrated expertise in publications in Machine Learning / Computer Vision / Computer Graphics. Experience with deep learning frameworks such as PyTorch. Familiarity with 3D Computer Vision.
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Knowledge of machine learning and deep learning for computer vision tasks is a plus. Your Areas of Expertise: Bachelor's, Master's, or Ph. D. in Computer Science, Electrical Engineering, Robotics, or a related field.
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