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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. Fidelity Investments – Senior Data Scientist – AI, Machine Learning, Big Data.
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You’ll have the opportunity to work alongside other talented engineers, CTO, and data scientists on cutting-edge big data, search, machine learning and analytics problems.
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Artificial intelligence, recruitment, machine learning, data science, staffing, ai, community, podcast, Computer Vision, Deep Learning, data engineering, big data, automation, ServiceNow, splunk, digital transformation, executive search, data analytics, cybersecurity, software engineering, software development, and it.
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Familiarity with cloud-based platforms (e.g. AWS, Azure) and big data processing tools (e.g. Apache Spark, Snowflake) Mentorship: Mentor and guide junior data scientists, providing technical expertise and fostering a culture of innovation and continuous learning.
$82,000 - $236,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Full text indexing and searching technologies such as Lucene and ElasticSearch, tuning indexing and searching for search relevancy and accuracy; using data mining and machine learning tools and algorithms.
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Implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like Gitlab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.
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Lead the technical direction for search / recommendation query services, search indexing, data mining, Search algorithms, Visual Search & deep learning in the context of the next generation Search & Discovery platform for Adobe.
$118,500 - $219,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in building Big Data Services using open source technologies like Elastic Search, Flink, Logstash, Kakfa, MongoDB, Hadoop, Spark, Trino/Presto, Hive, Airflow, Splunk. Machine Learning Engineer.
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Mentorship: Mentor and guide junior data scientists, data analysts, and/or software engineers, providing technical expertise and fostering a culture of innovation and continuous learning.
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Experience working with big data systems (Spark, EMR, Kafka, S3, Airflow) and programming languages (Java, Scala, or Python). Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models.
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Our team leverages sophisticated machine learning, data mining, and big data technologies to help customers discover the right products. We are looking for a Principal Product Manager-Technical to own whole page organization and layouts across search.
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Knowledge of Deep Learning and related tools such as PyTorch, TensorFlow, Keras, MXNET, or H2O is preferred. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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Proficiency in Python programming language, and expertise in relevant NLP and deep learning libraries and frameworks (e.g. TensorFlow, PyTorch, Spacy, langchain) Demonstrated experience developing and applying NLP techniques (e.g. LLM, transformers, embeddings, topic models) to relevant use cases (NER, Q&A, document summarization/classification, text generation, sentiment analysis, semantic search.
$126,610 - $215,270 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago
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