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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake. Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake.
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3+ years experience with APIs, containerization (Docker), and orchestration (Airflow) Experience with cloud native services such as AWS EMR, Databricks, HDInsight, Sagemaker is a plus. Experience with Python API development frameworks (FastAPI, Django, Flask) is a plus.
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1+ years experience with Databricks and/or Spark. Experience with Palantir Foundry is a plus. We are looking for a Machine Learning Engineer to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in todays fast-paced environment.
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Proficiency with DevOps tools (e.g., Docker, Kubernetes, Jenkins, Git, Ansible, etc. Strong proficiency in backend development with Python, including an understanding of frameworks such as Django or Flask.
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Demonstrated knowledge of Kubernetes, Docker, and YAML. Mesh Systems is an Internet of Things (IoT) Solutions Accelerator that helps enterprises achieve digital transformation. Executive Summary: Software Engineer Internship.
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Experience with container technologies (e.g. Kubernetes, Docker, etc.) Publish and disseminate DevOps and DevSecOps best practices, patterns, and solutions. Experience with configuration management and deployment automation tools such as Terraform, Ansible, Terraform, etc.
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Spring boot, Microservices, Docker, Jenkins and REST API's experience. SynergisticIT continues to work with hundreds of satisfied American clients with our software programmers working on our projects and after gaining hands on experience on cutting edge technologies moving to contribute their skills to great clients like Apple, Google, Client, Ebay, Paypal, Kroger, the Walt Disney Company and hundreds more.
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Proficiency in container orchestration systems like Kubernetes, EKS, and Docker. Expertise in CI/CD tools, including Jenkins and Spinnaker. Solid knowledge of web technologies such as JavaScript, CSS, HTML5, XML, Ajax, or TypeScript.
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Containers and Orchestration: Familiarity with containerization technologies such as Docker and container orchestration platforms like Kubernetes. Security: Knowledge of cloud security best practices, identity and access management (IAM), encryption, and compliance frameworks.
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Knowledge of containerization technologies such as Docker and container orchestration platforms like Kubernetes for deploying and managing containerized applications on GCP. Proficiency in GCP services such as Cloud Storage, BigQuery, CloudSQL, Dataflow, Composer and others.
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Solid understanding of working tools like AWS, Azure, GCP, Docker, Kubernetes, Jenkins. Familiarity with cloud deployment platforms (i.e. AWS, Containers, Docker, Kubernetes and orchestration.
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Familiarity with scalable model deployment practices and technologies, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), cloud platforms, continuous integration, and continuous deployment (CI/CD) pipelines, monitoring tools, and version control systems.
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Experience with containerization technologies such as Docker and Kubernetes. AWS certification(s) such as AWS Certified Developer - Associate or AWS Certified Solutions Architect - Associate. As a Junior Java AWS Developer, you will play a crucial role in developing, deploying, and maintaining cloud-based applications on the AWS platform.
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Experience with Containerization (Kubernetes, Docker, Rancher). Experience with Containerization (Kubernetes, Docker, Rancher). Experience in DevOps/DevSecOps system development. Experience with automation tools such as Chef, Puppet, Ansible, SaltStack.
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Familiar with machine learning concepts and techniques such as supervised and unsupervised learning, deep learning, natural language processing, computer vision, or reinforcement learning. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities.
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