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Our data science stack includes AWS EMR, Apache Spark (core, mllib, and streaming), Elasticsearch and raw Lucene, scikit-learn, and more. If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you.
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical experience with Python, Apache Spark, NoSQL/Hadoop, SQL, Data Visualization, Machine Learning, Artificial intelligence and more. Technical experience with Python, Apache Spark, NoSQL/Hadoop, SQL, Data Visualization, Machine Learning, Artificial intelligence and more.
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Proficiency in Databricks for distributed data processing, analytics, and machine learning on big data. Experience with Apache Spark for large-scale data processing and analytics.
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Hands-on expertise with modern distributed systems, including both Hadoop/SQL and Apache Spark. Expertise with modern distributed systems, including both Hadoop/SQL and Apache Spark.
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Proven experience in integrating machine learning models into scalable production environments. Stay ahead of the curve in the latest developments in AI, machine learning, and software development practices.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus. BCforward is currently seeking a highly motivated Data Science/Machine Learning developer for an opportunity in Jersey City, NJ.
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Advantages - experience in: Experience with Big Data Frameworks such as Apache Hadoop, Spark, Flink, Kafka, Airflow, etc. Improve search latency and relevancy using large scale data systems and machine learning.
$148,000 - $203,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong familiarity with the Apache Hadoop ecosystem (Spark, Kafka, Hive, Apache Presto, etc.) Next-Generation Endpoint Protection, Endpoint Detection and Response, Next Generation Anti-Virus, Managed Threat Hunting, Incident Response, Threat Intelligence, Malware Prevention, Malware Detection, Machine Learning, and Cloud-Delivered Endpoint Protection.
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Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark. Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$122,500 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with Databricks and Azure cloud platform, machine learning services, and best practices. Experience in open-source AI/ML tools, frameworks technologies (for example, TensorFlow, PyTorch, scikit-learn, Apache MXnet, Spark MLlib, etc.
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Hands on experience in developing, training, and deploying machine learning models using deep learning frameworks such as PyTorch and TensorFlow, including deployment on both CPU and GPU environments.
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As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be machine learning, MLOps, industry expertise, or more.
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Embracing and applying new technologies such as functional programming, distributed computing, machine learning, advanced data engineering, and serverless computing. Frameworks: Apache Mesos, Kafka, Spark, and Amazon Kinesis.
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Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.