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Certifications or additional coursework in cloud computing, MLOps, or DevOps (e.g., AWS Certified DevOps Engineer, Google Cloud Professional Machine Learning Engineer) are a plus.
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Exposure to AWS cloud services and running Apache Spark applications. POC for building an embedding store leveraging autoencoders Build frameworks to fast-track model development to deployment lifecycles Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL.
$30 - $40 an hourPart-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The role will be focused on UI/UX, API and ETL development on a SaaS platform in an AWS cloud-based environment. The Senior Full Stack Software Engineer will be responsible for building the organization's next-generation sustainable agriculture analytics platform based on proven, scalable cloud-based technologies.
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Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms like Azure / AWS. Extensive knowledge of Microservices Architecture, Micro Frontendand DevOps. Join us as a Senior Principal Software Engineer on our Software Engineering, AI Products team in Round Rock, Texas to do the best work of your career and make a profound social impact.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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High degree of comfort with training and inference on cloud instances cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes.
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Advanced knowledge of cloud platforms (AWS, Azure, Google Cloud) and their ML services. The ideal candidate will have a demonstrated history in machine learning, machine learning pipelines / infrastructure, natural language processing, prompt engineering, software engineering and some general devops / infrastructure.
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As a Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services.
$189,600 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Stay updated on emerging technologies and best practices in data management, machine learning, and cloud computing. We are seeking a skilled Software Engineer to join our Data Management team in Austin, TX. This role offers an exciting opportunity to work on building tools and infrastructure for large-scale data collection, storage, and analysis to support machine learning and business operations at Apptronik.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
$152,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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AWS Marketplace ( is an online store that helps customers find, buy, and immediately start using trusted software and services that run on the AWS Cloud. AWS Marketplace manages the state of the art complex infrastructure to provide a smooth experience for sellers and buyers to buy various software and services for different domains like infrastructure software, machine learning, and IoT.
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Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. Proven experience as an AI/ML Engineer with a strong focus on coding and software. Hands-on experience with Python, TensorFlow, and other relevant programming.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus. NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Databricks Data Engineer Location: Richardson, TX (Remote) Duration: 6 Months Technology Requirements: SQL GCP AWS Years Experience: 10 years of experience as a Software Engineer or related role.
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4+ years of related hands-on experience in delivering robust and scalable solutions on public cloud platforms such as AWS, Google Cloud Platform, and Microsoft Azure, preferably in an AI/ML production environment.
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