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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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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
Full-timeRemoteExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Backend Development: Design and implement backend services and APIs using technologies like Node.js, Python, Ruby on Rails, or Java. You’ll manage databases, authentication, data processing, and more, ensuring the application is secure, scalable, and performant.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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We are looking for a Data Analyst with E-Commerce, Fraud and Money Laundering domain experience and expert in Tableau, Python, SQL. Proficiency in SQL, Python, for data querying, manipulation, and analysis.
$65 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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PREFERRED EXPERIENCE: Strong experience in 3D-IC design Strong understanding of EDA tools from Synopsys and Cadence Synopsys 3DIC Compiler experience Strong knowledge of scripting Linux/Unix environment, Python, Perl, and TCL Experienced with Verilog, RTL, and UPF for multi-clock domain and low power designs Familiar in automating workflows in a distributed compute environment.
$204,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Engineering: Expertise in building data pipelines, including synthetic data generation and web scraping. Data Engineering: Design and maintain robust data pipelines, including the generation of synthetic data and web scraping.
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You are a developer with knowledge and experience (Sr) in: Microsoft 365 Cloud: AWS y Azure Stack MySQL + Laravel Python, Tensorflow + LLM + Opencv , Flask fast API You are fluent in English and Spanish Excellent communication and teamwork skills.
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Experience with computer vision models, sensor fusion, robotics, geospatial data, and fundamental deep learning research. Experience with Python is required and at least 3+ years working with at least one of the following languages: Rust, Go, C/C.
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Skilled in BTP technologies like Smart Data Integration(SDI) & Hana Sidecar. Strong knowledge of one or more programming languages (e.g., Python, Perl, ABAP, Java, C. Expertise in performance assessment and optimization of complex applications built on SAP BTP platform that are integrated with components like API management (APIM), Cloud Platform Integration (CPI) Conversational AI (CAI), Data Intelligence (SAP DI), and AWS storage services.
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Clean, validate, and preprocess data to prepare it for analysis using statistical software and programming languages such as SQL, Python, or R. •Perform descriptive and inferential statistical analyses to identify trends, patterns, and correlations in healthcare data.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. Strong experience in Python (MLlib, TensorFlow, and PyTorch.
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Advanced proficiency in modern text-based programming languages (Python, Java, C, VB) and database systems (MSSQL, MySQL, Access) is a plus. Work closely with HMI developers and programmers to optimize data exchange and enhance system usability.
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Proficiency in Python, SQL and Tableau for data manipulation, analysis, and visualization. Extensive experience with data preprocessing, feature engineering, and model optimization for risk and fraud detection.
$172,600 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago
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