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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. JOB SUMMARY As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies.
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Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, Java. Spectrum of offerings across basic RPA to machine learning, cognitive automation, and Quantum Computing capabilities.
$91,249.6 - $120,910.4 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake. Experience with AWS, Snowflake, Databricks/Apache Spark, Redshift, technologies.
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Experience with ETL tools Apache Spark or Talend or AWS Glue or AWS AirFlow or Kafka. Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skills Required: Requires experience in the following: Linux; Agile SDLC; Data Architecture Disciplines; Microservices; Apache Kafka; Docker; J2EE; Jenkins; Spring; Hibernate; Java; Python; Shell Scripting; SQL; XML; Apache Tomcat; Bootstrap; REST; Maven; JSON; Kubernetes; Apache Zookeeper; AWS Cloud Services; Dynatrace; Cassandra; Hadoop; Hive; Oracle; Teradata; Apache Spark; Splunk; GIT; Junit; Unit Testing; Snowflake; Terraform.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working in an Agile environment and proficient using tools like Azure DevOps or Jira. Experience with data visualization tools such as Tableau or Power BI. Experience working with Python, SQL, data warehouse systems, data lake systems, and data pipelines in a cloud environment.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are Military Ready and Second Chance employers. Lead the design, development, and implementation of data engineering solutions, including data pipelines, ETL processes, and data warehouses. KBX Technology Solutions, LLC, a provider of transportation technology to industry leaders, is seeking a highly skilled and motivated Tech Lead Data Engineer.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Tech Lead Data Engineer, you will play a key role in designing, developing, and implementing data solutions to support our business objectives. Ensure data quality, integrity, and security across all data engineering projects.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The team will work with Open-Source technologies including: Scripting languages such as Python and Go. Databases such as Postgres and Arango DB. Apache products including Apache Airflow, Apache Spark, Apache AGE. Containerization software with Docker, Podman, Kubernetes, and Kubeflow.
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PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Significant experience and advanced knowledge of developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods, scalable online estimation, and probabilistic graphical models.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning Engineer, Senior. Are you fascinated by the possibilities presented by the IoT, machine learning (ML), and artificial intelligence (AI) advances? Experience with data engineering tools, including Databricks, Spark, Elasticsearch, Airflow, or a data warehouse.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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