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Big Data & Distributed Systems : Hands-on experience with Apache Spark for distributed data processing, PySpark , or Spark MLlib for scalable machine learning. We are seeking a highly skilled AI/Machine Learning Data Engineer to develop and enhance the recommendation engine and virtual assistant that powers our social media platform.
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Solid understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
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Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning, Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse. Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning , Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency with deep learning tools and at least one machine learning tool, such as Hadoop, Apache Spark, TensorFlow, scikit-learn, or cloud-provider equivalents. Proven ability to work with at least one machine learning tool like Hadoop, Apache Spark, TensorFlow, or scikit-learn, or cloud-provider equivalents.
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Coaches and mentors others by example and through direct coaching on machine learning and artificial intelligence skills. Facilitates customer understanding of the impact of AI on their operating model and develops their skills in and comfort with machine learning solutions.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are hiring talented Senior Data Engineers in roles related to building cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. Apache Kafka, Apache Flink, Apache Spark, Trino (Presto), Apache Airflow/Dagster, Apache Superset, AWS S3, Snowflake, Amplitude, CDP (e.g. Segment.com.
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The Senior Machine Learning Engineer will work on building AI/ML solutions across a wide range of business applications. TITLE: Senior Machine Learning Engineer. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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ML | AI | Machine Learning | DevOps | Data & Analytics | Infrastructure | CI/CD | Terraform | Gitlab | Azure Devops | AWS | Azure | DataBricks | Ansible | Apache Spark | Kafka | Kubernetes | Docker | Linux.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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They are responsible for partnering with customers to perform statistical analysis and build machine learning models. Builds and maintains predictive models and machine learning algorithms from the ground up to solve real-world business challenges.
$144,024 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Backend service and tool development in Golang, Kotlin and/or Python. As a Senior Staff engineer, you will be responsible for the most critical long term technical roadmap of the organization. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks.
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Understanding of machine learning concepts and experience with ML platforms like Azure Machine Learning or TensorFlow. Familiarity with distributed computing frameworks, such as Apache Hadoop and Apache Spark.
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Bachelor's degree in Computer Science, Data Engineering, Machine Learning, or a related field is required. Manage and build high-performance Data Engineering and Machine Learning Engineering teams, fostering a culture of innovation and excellence in a remote-first environment.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or Google Cloud Platform). Master's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 5+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred.
Full-timeExpandApply NowActive JobUpdated 3 days ago
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