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Experience working with big data systems (Spark, EMR, Kafka, S3, Airflow) and programming languages (Java, Scala, or Python). Collaborate with cross-functional teams to understand business requirements and develop scalable, efficient machine learning solutions that improve content onboarding, search, recommendations, and voice interactions.
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Well-versed in core advanced analytics data mining and scripting tools such as Python, R, and SQL. Strong knowledge of media channels and concepts (i.e., Display, Paid Search, SEM, SEO, Social.
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Demonstrated experience in NLP and search technologies (, Elasticsearch, Solr, Lucene). Proficiency in programming languages such as Python, Java, or Scala and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
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This person will working on all new green development projects utilizing an array of tools such as: JVM programming languages(Java/Springboot, Groovy, Python), Docker + Kubernetes, Javascript/React, Kafka, Elastic Search, Lucene, Spark, and Cassandra, DynamoDB as well as Neo4J. Obviously very few folks have touched/been hands-on with all of these tools in production.
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Experience programming in a Python web framework (Django) and tools/frameworks (Kafka, Redis, Elastic Search, Docker) a plus. The tech stack for this role includes front-end applications that are primarily browser-based, developed using Python/Django and ReactJS. Middle-tier and back-end use Python, C#, SQL, and Docker.
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Advanced programming abilities in Python and deep-learning/NLP frameworks (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow, NLTK, spaCy, Jupyter). Levy Search is partnered with a New York Start-up that leverages cutting-edge advancements in machine learning and natural language processing.
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Optomi, in partnership with a leading energy provider, is in search of a Data Privacy Analyst to assist the organization in implementing BigID to manage and identify sensitive customer data. BigID, Python, Github, Jenkins, APIs, AWS, Oracle, MongoDB, Azure, SQL Server.
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Tech Stack: Java, Spring Boot, Python, Cassandra, Elastic Search & REDIS, Azure, AWS. Tech Stack: Java, Spring Boot, Python, Cassandra, Elastic Search & REDIS, Azure, AWS. Experience with frameworks such as Kafka, Cassandra, Redis, Elasticsearch, and S3.
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Role Overview: We are in search of a dedicated Quantitative Researcher/Trader to be our 2 Quant, playing an instrumental role in shaping the direction and success of our fund (6 year track record) This is a rare opportunity for mid level Quants to work alongside a seasoned fund manager, and former PM for 2 multi-billion dollar funds.
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Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive). As a full-service search firm, we partner with companies across industries, including Financial Services, Fintech, Consumer Goods and Services, Security and Logistics, Pharmaceutical / Biotech, Technology, Automotive, Engineering, and Healthcare.
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Create and manage Elasticsearch Clusters on premise, including configuration parameters, indexing, search, and query performance tuning, RBAC security governance, and administration. Hands-on Scripting & Programming in Python, Ansible, bash, data parsing (regex), etc.
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Technical/Functional Skills - Strong experience in Sailpoint IdentityNow - Strong development skills - Powershell, python etc in addition to sailpoint's beanshell. Key words to search in resume Sailpoint IdentityNow, identitynow.
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Cloud, artificial intelligence, machine learning, mobile, In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Exposure in Database-related programming (both SQL and No-SQL) Familiarity with monitoring tools like Splunk, Elastic Search Knowledge of Credit Risk and Databricks.
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As the leader in organic search innovation, Botify is trusted by more than 500 of the world's most visible brands, including Expedia, L'Oréal, Crate & Barrel, Conde Nast, Groupon, Github, Carvana, FNAC Darty, and The New York Times.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.
$140,100 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today
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