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πŸ”₯ Associate Data Engineer
Posted about 6 hours ago

πŸ“ USA

🧭 Full-Time

πŸ” Digital Media Agency

🏒 Company: Spring & BondπŸ‘₯ 11-50Digital MarketingAdvertisingDigital MediaConsulting

  • 1+ years of experience in a data engineering or related role.
  • Strong SQL skills, including the ability to write complex queries using JOINs and aggregate functions.
  • Proficiency in Python and data manipulation libraries such as Pandas.
  • Experience with data validation techniques and tools.
  • Familiarity with AWS cloud services, particularly S3 and Lambda.
  • Experience with Git for code version control.
  • Detail-oriented with a focus on data accuracy and quality.
  • Organized with a systematic approach to managing data workflows.
  • Comfortable working in an ambiguous environment and able to independently drive projects forward.
  • Nimble and able to adapt to changing priorities.
  • Design, develop, and maintain ETL pipelines to ingest and transform data from various sources.
  • Implement data validation processes to ensure data accuracy and consistency throughout the data lifecycle, using tools like Regex.
  • Write and optimize SQL queries for data extraction, aggregation, and analysis.
  • Develop and maintain Python scripts and Pandas dataframes for data manipulation and analysis.
  • Utilize AWS Lambda functions to automate data processing tasks.
  • Manage code using Git for version control and collaborative development.
  • Collaborate with data analysts, media strategists, and other stakeholders to understand their data requirements and provide solutions.
  • Communicate technical concepts to non-technical stakeholders and translate business needs into technical specifications.
  • Troubleshoot and resolve data-related issues, identifying areas for improvement and efficiency gains.
  • Document data processes, pipelines, and transformations for knowledge sharing and maintainability.
  • Work with vendors to ensure seamless data integration and resolve any data delivery issues.
  • Apply critical thinking skills to analyze complex data problems and develop innovative solutions.

AWSPythonSQLData AnalysisETLGitData engineeringPandas

Posted about 6 hours ago
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πŸ“ United States

🧭 Contract

πŸ’Έ 91520.0 - 120000.0 USD per year

🏒 Company: Third Eye SoftwareπŸ‘₯ 11-50ConsultingInformation TechnologyRecruitingSoftware

  • 3+ years of experience in data engineering
  • Advanced expertise in SQL
  • Experience with Google Cloud Platform (GCP)
  • Hands-on experience with ETL/ELT processes and data pipeline development
  • Proficiency in Python
NOT STATED

PythonSQLETLGCPJenkinsNumpyData engineeringPandas

Posted about 7 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 160000.0 - 200000.0 USD per year

πŸ” Software Development

🏒 Company: GameChanger

  • 4+ years of hands-on cloud engineering experience with a focus on scaling ML/AI infrastructure in high-throughput, real-time environments.
  • Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or equivalent) to automate cloud infrastructure for ML systems.
  • Deep knowledge of AWS services, patterns and best practices for resiliency, scalability, and security.
  • Hands-on experience with container orchestration (e.g., Kubernetes, ECS) with a focus on solving real-world scalability challenges.
  • Architect and scale cloud-based infrastructure purpose-built for real-time and batch ML workloads, ensuring system efficiency and reliability.
  • Design model-serving infrastructure to handle high-throughput inference workloads, model versioning, and multi-model interactions.
  • Design observability strategies, ensuring model performance, system reliability, and infrastructure health are continuously monitored.
  • Collaborate with ML/DevOps/Backend/Security Engineers on projects, integrating new tools, improving deployment speeds, scalability, and resiliency to support their evolving roadmaps.

AWSDockerPythonApache AirflowCloud ComputingGitKerasKubernetesMachine LearningMLFlowNumpyAlgorithmsAPI testingData engineeringData StructuresREST APIServerlessPandasSparkTensorflowCI/CDLinuxTerraformMicroservicesJSON

Posted about 18 hours ago
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πŸ”₯ AI Developer
Posted about 20 hours ago

πŸ“ Latin America

🧭 Contract

πŸ” Software Development

🏒 Company: Teravision TechnologiesπŸ‘₯ 251-500πŸ’° over 13 years agoAndroidiOSMobile AppsInformation TechnologySoftware

  • Strong proficiency in Python
  • Experience developing AI solutions using Python, specifically implementing LLMs and generative models
  • Experience with vector databases (FAISS, Milvus, or Pinecone) and RAG system development
  • Cloud deployment and scaling experience with AWS, Google Cloud, or Azure, using serverless architectures, Docker, and Kubernetes
NOT STATED

AWSDockerPythonArtificial IntelligenceData AnalysisGitKubernetesNumpyPyTorchFastAPIServerlessPandasTensorflowCI/CDAgile methodologiesRESTful APIsEnglish communication

Posted about 20 hours ago
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πŸ“ Germany

🧭 Full-Time

πŸ” Insurance

🏒 Company: Shift TechnologyπŸ‘₯ 501-1000πŸ’° Series D over 3 years agoArtificial Intelligence (AI)Machine LearningInsurTechInformation TechnologyInsurance

  • Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users - writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking.
  • AI-savvy, either by having a degree in machine learning, or statistics, or having hands-on experience with AI- and GenAI-based methods and models to tackle complex business problems.
  • Clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
  • Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis.
  • Business smart. We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products.
  • Advanced command of German and English, both written and spoken, equivalent to a native speaker.
  • Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
  • Developing, testing, and tuning models using GenAI, AI, and business rules, and putting them in production for tasks such as fraud detection and automation detection in complex environments.
  • Automate key business tasks by implementing them in our production process framework in C#
  • Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions

PythonSQLElasticSearchETLMachine LearningNumpyC#AlgorithmsData engineeringData scienceREST APIPandasClient relationship managementData visualizationData modeling

Posted about 23 hours ago
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πŸ“ Serbia

🧭 Full-Time

πŸ” Software Development

🏒 Company: Social Discovery GroupπŸ‘₯ 501-1000Venture CapitalFinanceInformation Technology

  • Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, Plotly)
  • Excellent coding skills
  • Strong knowledge of LLMs: APIs, best models, and prompting techniques
  • Familiarity with Data & ML production pipelines (Airflow, MlFlow)
  • Proven experience working on ML solutions
  • Work on NLP-related tasks as part of the team, including writing prompts, creating functions, and fine-tuning models when necessary
  • Build ML/AI models, write services (if needed for the project), wrap them into Docker
  • Collaborate with cross-functional team of: Product owner, Analytics, ML
  • Share ideas and help with knowledge with the team

AWSDockerPythonData AnalysisGCPMachine LearningMLFlowNumpyAirflowAlgorithmsAzureREST APIPandas

Posted 1 day ago
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πŸ“ India

🏒 Company: YipitData (Alternative)

  • 5+ years of proven experience in web application development or application support, particularly in systems with high uptime requirements.
  • Demonstrate strong ability to troubleshoot issues with web/http traffic, python applications, and JS applications.
  • Proficient in Python, Docker, AWS, REST APIs, and database technologies.
  • Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
  • Work cross-functionally with data analyst teams and platform engineers to coordinate releases, onboard users, and maintain the uptime of critical Plotly Dash applications.
  • Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.
  • Promote and enforce application best practices, data software management, and cloud infrastructure to enhance system reliability and reduce technical debt.

AWSDockerPythonSQLREST APIPandasSparkCI/CDRESTful APIsTroubleshootingData analyticsDebugging

Posted 1 day ago
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πŸ“ United Kingdom

πŸ” Software Development

  • Experience developing and productionizing machine learning models, including their supported data pipeline.
  • Experience with machine learning using packages such as TensorFlow, PyTorch, Spark MLlib, XGBoost, Sklearn, etc.
  • Strong coding skills in Python or equivalent (Python, Java and C++).
  • Solid understanding of engineering and infrastructure best practices.
  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Work with large and complex datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Work in the content and contributor intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
  • Productionize and automate model pipelines within Python services.
  • Drive and advocate adoption of best practices in MLOps (Machine Learning Operations).

PythonSQLApache AirflowData AnalysisImage ProcessingKubeflowMachine LearningNLTKNumpyPyTorchC++AlgorithmsData engineeringData StructuresREST APIPandasSparkTensorflowData modeling

Posted 1 day ago
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πŸ“ Philippines

🏒 Company: Manila RecruitmentπŸ‘₯ 11-50Staffing AgencyConsultingHuman ResourcesRecruitingSocial Media

  • 3+ years of experience in AI-driven workflow automation and process optimization.
  • Strong knowledge of Python for automation, scripting, and AI model integration.
  • Experience with workflow automation tools (Monday.com, Gumloop, Make, Zapier, UiPath, Power Automate, etc.).
  • Proficiency in REST APIs, Webhooks, and third-party service integrations.
  • GIS knowledge, especially open source like QGIS, is highly desirable but not mandatory.
  • Hands-on experience with data visualization and business intelligence tools (Power BI, Tableau).
  • Familiarity with cloud services (AWS, Azure, Google Cloud,) and AI frameworks.
  • analytical and problem-solving skills with attention to detail.
  • Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Design and implement AI-driven automation workflows using tools like Monday.com, Gumloop/n8n, Make, Zapier, UiPath, and other RPA platforms.
  • Develop/implement Python scripts for data processing, workflow automation, and AI model integration.
  • Optimize business operations through intelligent decision-making algorithms.
  • Automate workflows in Monday.com, Visio, Power BI, Google Suite, and other relevant enterprise tools.
  • Develop and maintain custom automation solutions integrating APIs and third-party services.
  • Work with structured and unstructured data to automate decision-making processes.
  • Utilize AI/ML models to enhance automation and business intelligence.
  • Develop and fine-tune predictive analytics and visualization solutions for process optimization and market analysis.
  • Integrate natural language processing (NLP) and AI chatbots into automation workflows where applicable.
  • Implement error-handling mechanisms and monitoring tools for automation processes.
  • Conduct regular performance analysis to ensure efficiency and scalability.
  • Maintain documentation and provide training for stakeholders on automated workflows.
  • Identify, document, and track defects in collaboration with development teams, ensuring timely resolution and validation.
  • Architect and enhance test automation frameworks to support functional, regression, integration, and performance testing across web, mobile, and/or API-based applications.
  • Contribute to performance and load testing initiatives using tools like JMeter, LoadRunner, or Gatling (as applicable).
  • Proactively identify areas for improvement in testing processes, tools, and workflows, and implement solutions to enhance efficiency and effectiveness.
  • Work closely with cross-functional teams to understand requirements, resolve issues, and ensure alignment on quality goals.

AWSPythonSQLArtificial IntelligenceBusiness IntelligenceCloud ComputingData AnalysisETLGCPMachine LearningMicrosoft Power BINumpyTableauAPI testingAzureREST APIPandasAnalytical SkillsProblem SolvingRESTful APIsAttention to detailExcellent communication skillsJSONData visualizationData modelingScripting

Posted 1 day ago
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πŸ“ India

πŸ” Software Development

🏒 Company: YipitDataπŸ‘₯ 251-500πŸ’° Debt Financing 9 months agoMarket ResearchAnalyticsData Visualization

  • 5+ years of proven experience in web application development or application support, particularly in systems with high uptime requirements.
  • Strong ability to troubleshoot issues with web/http traffic, python applications, and JS applications.
  • Are proficient in Python, Docker, AWS, REST APIs, and database technologies.
  • Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
  • Work cross-functionally with data analyst teams and platform engineers to coordinate releases, onboard users, and maintain the uptime of critical Plotly Dash applications.
  • Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.
  • Promote and enforce application best practices, data software management, and cloud infrastructure to enhance system reliability and reduce technical debt.

AWSDockerPythonSQLGitREST APIPandasSparkTroubleshootingData analyticsDebugging

Posted 1 day ago
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