OneSix - External

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🔍 Data and artificial intelligence consultancy

  • Python Development experience required.
  • Experience with Git and SQL.
  • Development with Spark preferred but not mandatory.
  • Experience in Data Warehousing, Business Intelligence, or as a Developer in data-related projects.
  • Solid understanding of data modeling concepts with experience in data model design and implementation.
  • Familiarity with cloud data platforms like Snowflake, Databricks, Azure Synapse, Amazon Redshift, and/or Google BigQuery.
  • Experience with cloud-related technologies such as AWS, Azure, or Google Cloud.
  • Proficiency with ETL/ELT tools like DBT, Matillion, Fivetran, Coalesce, or SSIS.
  • Experience with Business Intelligence/Data Visualization tools (Power BI, Tableau, Qlik Sense, Sigma, etc.).
  • Demonstrate technical capabilities and growing knowledge in data-related disciplines.

  • Lead and architect solutions for clients.
  • Develop strategies and project plans to address complex business challenges.
  • Define project architecture and lead delivery teams for analytics and software applications.
  • Set client expectations for project delivery, scope, and timelines.
  • Build and maintain client relationships, identifying areas for growth.
  • Engage with executive leadership to deliver solutions and drive projects.
Posted 2024-11-28
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📍 LATAM

🔍 Data and artificial intelligence consultancy

  • Candidates will be evaluated based on their experience in building and testing Python applications.
  • Experience with infrastructure-as-code tools like ARM and Bicep templates for automating deployment processes.
  • Familiarity with deploying and managing machine learning models and APIs, particularly with OpenAI tools or similar frameworks, in production environments.
  • Experience with Azure Open AI services and managing cloud infrastructure.
  • Strong skills in scripting languages (e.g., PowerShell, Python, Bash).
  • Experience collaborating via Git.

  • Work with other machine learning scientists and engineers to develop custom ML solutions for a variety of industries and use cases.
  • Develop, train, and validate machine learning algorithms.
  • Guide client teams on implementing Azure Open AI services.
  • Build Azure infrastructure pipelines to create and deploy Azure services, specifically related to AU use cases.
  • Apply techniques such as classification, clustering, regression, NLP, deep learning, time series forecasting, and Bayesian methods to build scalable solutions.
  • Help create generalized solutions out of specific use cases and identify areas of opportunity and improvement within projects.
  • Research new techniques and technologies in ML and AI, evaluating their potential for business uses.
  • Collaborate in a fully remote, Agile-like environment using tools like Slack and Git.

PythonAgileArtificial IntelligenceBashGitMachine LearningAlgorithmsAzureCommunication Skills

Posted 2024-11-28
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📍 USA, Canada

🔍 Data and artificial intelligence consultancy

  • Applicants must have experience in statistical modeling and hypothesis testing.
  • Experience designing, training, and validating a variety of machine learning algorithms.
  • Proficiency in writing clean, efficient SQL.
  • Experience building and testing Python applications.
  • Experience building deep neural networks using tools such as PyTorch or TensorFlow.
  • Experience collaborating via Git.

  • Work with other machine learning scientists and engineers to develop custom ML solutions for various industries and use cases.
  • Develop, train, and validate machine learning algorithms.
  • Apply techniques such as classification, clustering, regression, NLP, deep learning, and time series forecasting.
  • Help create generalized solutions out of specific use cases and identify areas of opportunity within projects.
  • Research new techniques and technologies in ML and AI.

PythonSQLAgileArtificial IntelligenceGitMachine LearningPyTorchAlgorithmsData scienceTensorflow

Posted 2024-11-28
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🔥 Software Engineer
Posted 2024-11-15

📍 USA & Canada

🧭 Full-Time

🔍 Data and artificial intelligence consultancy

  • Minimum 2 years of industry experience writing and deploying Python applications.
  • Very strong proficiency in Python.
  • Experience in packaging custom Python applications.
  • Proficient in developing RESTful and gRPC APIs, and experience using FastAPI.
  • Experience with PySpark for big data processing.
  • Proficient in containerizing applications using Docker and deploying on Kubernetes or cloud platforms.
  • Experience defining and deploying infrastructure-as-code with Terraform.
  • Hands-on experience with AWS services such as EKS, ECS, EMR, Batch, Glue, Lambda, and SQS.
  • Strong knowledge of SQL and experience integrating with ML models.

  • Work with machine learning scientists and engineers to create custom ML solutions across various industries.
  • Build machine learning pipelines from ideation to deployment.
  • Develop data pipelines for ingestion, transformation, and export.
  • Embed statistical algorithms and ML models in cloud applications.
  • Identify opportunities for improvement in projects.
  • Collaborate in a remote Agile environment using tools like Slack and Git.

AWSDockerPythonSQLAgileGitKubernetesMachine LearningAlgorithmsData scienceFastAPIgRPCCommunication SkillsProblem SolvingDevOpsTerraform

Posted 2024-11-15
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