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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer Professional. - One or more of the following certifications: GCFA, GCFE, GCIH, EnCE, CCE, CFCE, CISSP, AWS Practitioner, AWS Certified Developer, AWS Certified SysOps Administrator, AWS Certified Architect, Kubernetes Security Specialist.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Software Engineering, Intelligence Community, Java EE, Amazon AWS Consulting Partner, GSA Schedule, Microsoft Partner, Cross Domain Solutions, Business Automation, Business Intelligence, Artificial Intelligence & Machine Learning, Content Management, and Integrated Data Management.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification. Knowledge of native commercial Cloud (AWS, Azure, GCP) services, PaaS and SaaS solutions.
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AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional certification. Design and develop automated deployment and patching systems across multiple baselines (machine images and containers) that support an AWS based shared services platform for a broad spectrum of users and initiatives.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Clarifai is a leading, full-lifecycle deep-learning AI platform for computer vision, natural language processing, audio recognition, and large language models (LLM). Familiarity with DevOps methodologies and tools, including hands-on experience with continuous integration/continuous deployment (CI/CD) pipelines using tools like Jenkins, Ansible, or Terraform.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Experience with Cloud Computing platforms (e.g., Amazon AWS, Microsoft Azure, Google Compute Engine)Experience with firewall automation for implementing security policies and path analysisStrong technical and hands on experience with DNS infrastructure using InfobloxStrong Architecture knowledge and experience tools like Ansible Automation Platform and Playbook, Github, Jenkins, Pyats, Jira. Technical knowledge of common routing protocols (e.g., OSPF, BGP), IPv6, VPN, etc.
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Center 3 (19075), United States of America, McLean, VirginiaManager, Cyber Risk & Analysis (Machine Learning) Capital One’s commitment to Machine Learning has sponsorship from leadership and the Enterprise ML Program is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML and Generative AI.
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One or more of the following certifications: Certified Scrum Master (CSM), Certified Information Systems Security Professional (CISSP), AWS Certified Solutions Architect – Professional, Google Cloud Professional Certification, PMI Project Management Professional (PMP.
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Cloud certifications such as AWS Solutions Architect Associate/Professional, AWS SysOps Administrator, AWS Developer, or AWS DevOps Engineer. Collaborate with cross-functional teams to share knowledge and promote continuous learning related to DevSecOps practices.
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machine learning aws devops jobs Title: devops Company: Pri in Falls Church, VA
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Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
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"Nothing we do is more important than hiring and developing people."
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Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.