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Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, Etc.
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As an experienced AWS DevOps Cloud Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. AWS Certification (AWS Solution Architect Associate, AWS Developer, AWS DevOps.
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As an experienced Senior AWS DevOps Cloud Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel.
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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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 design.
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The Machine Learning Engineer role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments, and also being part of customer success teams.
$150ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Knowledge of modern cloud-native application design principles, DevSecOps, Infrastructure as Code (IaC), CI\CD Pipelines, Microservices, Containers, etc. Familiarity and experience with organizational adoption of transformational initiatives – Platform Engineering, DevOps, DevSecOps, Cloud Transformation, Application Modernization.
$175,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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AWS DevOps certification or Azure DevOps certification. Working Knowledge of Jenkins, Azure DevOps, Ansible, Terraform, Packer, Git, ServiceNow a big plus. Must have extensive knowledge of pipelines in Azure DevOps and GitHub.
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Design, Develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization. Strong knowledge of machine learning, deep learning, NLP, statistical analysis, and data visualization tools and technologies.
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Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths. Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more.
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3+ years supporting the development and deploying machine learning & AI models into production and ability to work across structured, semi-structured and unstructured data. Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)required.
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machine learning aws devops design jobs Title: devops engineer in Atlanta, GA
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