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Hands on experience with cloud services such as AWS EKS, S3, EC2, Aurora / RDS, SQS, SNS, Batch, etc. Staff Software Engineer (Data & Machine Learning Operations.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Established in 2014 and valued at $5B, Checkr puts modern technology powered by machine learning in the hands of hiring teams, helping thousands of companies like Uber, Instacart, Netflix, Compass Group, and Adecco to hire great new people with an experience that’s fast, smooth, and safe.
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Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus. Hands-on experience with Databricks and Snowflake for data engineering and analytics.
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GCS, s3)- Analytical problem-solving skills, ability to analyze application logs to troubleshoot issues- Familiarity with Cloud Computing (GCP a plus)Nice to have- Experience with Javascript- Hands on work with Airflow- Exposure to producer/consumer messaging systems- Has led a small team of developersIQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry.
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Familiarity with machine learning concepts and frameworks is a plus. Data Engineer with Databricks. Experience with cloud platforms such as AWS, Azure, or GCP. Implement data pipelines and ETL processes using Databricks and Snowflake.
Full-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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5+ years proven data modeling skills - must have demonstrable experience designing models for data warehousing and modern analytics use-cases (, from operational data store to semantic models) *Expert in Python for data analytics, visualization, machine learning, and models *2-3 years' experience in modern data architecture that supports advanced analytics including Snowflake, Azure, etc.
$64 - $80 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3 plus years of experience in building use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and On- premise environmentsExpertise with SQL, noSQL, Python, R, Javascript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.
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This individual will work directly with the Data Architect, along with the CTO of Lasso to establish a Machine Learning platform along with best practice engineering standards to ensure secure and successful data solutions.
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Working across the practices, techniques and tools used for the operational management of large models in production environments – the Staff Data Engineer role is proper for you if you're a subject matter expert in designing data integration frameworks and pipelines and still love to jump in and be "hands-on" when needed.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Hands-on experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, EMR.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Strong understanding of database design, SQL, and data modeling principles. Data science background. 10 years of experience as a Software Engineer or related role. Optimize and fine-tune performance of data pipelines and database queries.
Full-timeRemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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3 years of experience designing AI & Machine Learning capabilities within data pipelines to enrich data and create new datasets, especially with Amazon Sagemaker and Amazon Bedrock - 2+ years of experience with Apache Airflow.
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Hands-on Experience in using cloud-based technologies throughout data and machine learning product development. The Data and Machine Learning Engineer leverages data and computing infrastructure, automation and workflow orchestration tools to create data processing steps for machine-learning pipelines in production.
Full-timeRemoteExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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User Interface Integration: Use your hands-on UX/UI development experience to work with front-end developers and UX/UI designers, integrating machine learning outputs into intuitive user interfaces for efficient data delivery.
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machine learning hands on cloud jobs Title: data engineer
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