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The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. - Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.
Work from homeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience using Databricks, PySpark / Spark, Azure Cloud, Kubernetes, Docker, PyTorch, Keras, Tensorflow. Collaborate with business, engineering, infrastructure and data science teams to translate their needs or challenges into production-grade Artificial Intelligence (AI) and Machine Learning (ML) deployment architectures for batch, real-time streaming and edge deployments.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Spring boot, Microservices, Docker, Jenkins, Github, Kubernetes, and REST API experience. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
Full-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Use Angular, JavaScript, Java, HTML5, CSS3, XML, Spring Boot, JSON, XML, REST, SOAP, AWS, CI/CD, ES6, React, Unix. Node JS, Express JS, Typescript, SQL, Docker, Kubernetes, MongoDB, SaaS, Maven, Jenkins, NPM, Git, APIs, Microservices.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technologies/Tools we use: Python, SQL, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs.
$99,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of DBT, Airflow, Ansible, Terraform, Argo, Helm, or other data pipeline systems; ideally experience building and maintaining a data warehouse and understanding of simple data science workflows and terminology.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience. Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude.
Full-timeRemoteExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics, or a related field with experience in industry a plus. Experience (2+ years) with version control systems (e.g. Git), reproducible computing (e.g. Docker), workflow management (e.g. Nextflow, Snakemake) and effectively leveraging resources from HPC/cloud computing platforms (e.g. AWS.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with GCP (BigQuery, GCS, Dataproc, Notebooks), Airflow, and containerization (Docker) Our Long Term Impact (LTI) Science team drives development of world-class ML systems that estimate the long term impact of business decisions and customer actions.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Qualifications: A masters or PhD in computational chemistry, computer science, or a related discipline solving biological or chemical problems using computational approaches. Proficiency in ML Ops practices, including model deployment, monitoring, and version control, with expertise in tools like Kubernetes, Docker, and CI/CD pipelines.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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3+ years of experience with deployment and optimization–Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow etc. 3+ years of experience in in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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SFL Scientific, a Deloitte Business, is a U.S. based, data science consulting firm. Maintain and uphold data science best practices on new methodologies, technologies, industry trends, and open source packages.
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Back-end (data science): Python, Airflow, AWS. Tools: Github, Slack, JIRA, Docker, G Suite (Gmail, Google Docs) We're looking to add a talented front-end engineer (interested in full-stack development) to its AI and Data Science team.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Java, Docker, AWS, Node.js, AngularJS, React, Python, PostgreSQL (or Any other RDMS), and Kafka. Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Work closely with our data science and data engineering teams to build robust data pipelines and workflows. Familiarity with Kubernetes, Docker, or another container technology a plus. Exposure working with Data Science teams and productionizing machine learning models is nice to have.
Full-timeExpandApply NowActive JobUpdated 1 month ago
docker science jobs in Cambridge, MA
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