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Strong experience in Python (MLlib, TensorFlow, and PyTorch). Establish and set up model life cycle management with tools like MLFlow , etc · Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions · Deployment utilizing containerization solutions like Docker and Kubernetes · Experience with AWS cloud services and running Apache Spark applications.
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Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python. Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs. Digital : Data Science, Digital : Python.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers.
$155,000 a yearExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Knowledge of Python, Django, PHP, or similar toolset. Free rides on all UT Shuttle and Capital metro buses with staff ID card. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply.
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Backend Technologies: Expertise in server-side languages and frameworks such as Node.js, Python (Django/Flask), Ruby on Rails, or Java. You’re comfortable building APIs, handling authentication, and managing databases.
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Experience automating data collection and analysis using Python or Golang. Experience with a high-level programming language like Python. This role will be within SpyCloud Labs, SpyCloud's in-house Security Research team, and will focus on the recapture of data from the clear, deep, and dark webs.
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Good knowledge and experience with CyberArk and Conjur Rest APIs Proficiency in scripting languages such as Python, PowerShell, or Ruby for automation of CyberArk, Conjur tasks and integration with DevOps tools.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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C#, devops, matlab, php, python, software development engineer, software engineer, software programmer. Technical Expertise :Minimum 3 years with Vue.js, SCSS, Node.js, and RESTful API integrations.
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Competence with common scripting languages (Bash, PowerShell, Python, etc) a plus. Certifications in one of the following preferred: ABCP, CBCP, CBCPI, CISSP, GCIH, ITIL, or BCI. Experience in developing Disaster Recovery/Resiliency, Business Continuity and Crisis Management Plans and conducting exercises.
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Proficiency in SQL, Python, and R programming languages. Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). Proficiency in applying problem-solving frameworks (such as root cause analysis, Six Sigma, or Design Thinking) to address complex business challenges In the US, the target base salary for this role is $150K - $250K. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography.
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Proficiency in Python, SQL, API, and PySpark. Design and implement data solutions using Azure services (e.g., Synapse Analytics, Databricks, Snowflake, Azure SQL, Azure Blob Storage, ADLS Gen2, Azure Functions, Azure Key Vault, AI/ML.
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The ideal candidate will be a subject-matter expert in Microsoft Intune, Microsoft Autopilot, Microsoft Defender, and Microsoft Graph, with strong proficiency in automation languages such as PowerShell and Python.
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Expert working knowledge of Python, Rust, or C#; experience with JavaScript preferred. As a Senior Software Engineer, you will contribute to the advancement of commercial software solutions within our Bioinformatics and Software Development group in the Molecular Diagnostics Division.
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Proficiency in scripting and automation tools such as Python, Bash, or PowerShell. AWS Certified Solutions Architect, DevOps Engineer, or similar certifications. Implement infrastructure as code (IaC) using tools such as Terraform, CloudFormation, or similar.
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python job Company: Liberty Personnel Services in Austin, TX
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