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Mechanized AI

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🔥 Machine Learning Engineer
Posted 2024-12-01

đź“Ť Chile

🧭 Full-Time

🔍 AI and technology solutions

  • 4+ years of ML experience at a start-up or larger enterprise.
  • 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications.
  • Client delivery experience.
  • Effective written and oral communications skills (C1/C2 - advanced/proficient level English is required).
  • Bachelor’s degree in computer science, software engineering or related field.
  • Experience with cloud environments (e.g., AWS, Azure, GCP).
  • Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn).
  • Experience developing, deploying, and managing/monitoring models.
  • Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture.
  • Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies.
  • Advanced experience in NLP techniques and applications.
  • Strong proficiency in Python programming.
  • Familiarity with prompt engineering approaches and best practices.
  • Knowledge of data structures, data modeling, and software architecture.
  • Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues.
  • Ability to work independently and as part of a collaborative team in a fast-paced environment.

  • Contribute to building and enhancing our Mechanized AI platform and AI-enabled products including mAI Modernize.
  • Serve as ML SME on client projects as needed.
  • Design ML systems.
  • Research and implement appropriate ML algorithms and tools.
  • Select appropriate datasets and data representation methods.
  • Run ML tests and experiments.
  • Perform statistical analysis and fine-tuning using test results.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.
  • Stay current with emerging technologies and ML best practices to continuously improve our methodologies and tools.

AWSDockerPythonGCPKerasKubernetesMachine LearningPyTorchSoftware ArchitectureAlgorithmsAzureData StructuresTensorflowCollaborationTerraformMicroservices

Posted 2024-12-01
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🔥 Application Modernization Specialist
Posted 2024-12-01

đź“Ť Chile

🧭 Full-Time

🔍 Artificial Intelligence

  • Bachelor’s degree in computer science, software engineering or related field.
  • Experience as a Software Architect or Senior Developer focused on modernization projects.
  • Client delivery experience.
  • Expertise migrating legacy systems, preferably from COBOL to modern languages such as Java, C#, Python, or similar.
  • Deep understanding of software architecture principles, design patterns, and best practices.
  • Experience with tools and methodologies for code analysis, refactoring, and automated testing.
  • Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues.
  • Ability to work independently and as part of a collaborative team in a fast-paced environment.
  • Effective written and oral communications skills – C1/C2 (advanced/proficient) level English is required.

  • Lead and execute software modernization projects, ensuring the seamless transition from legacy systems to modern, scalable architectures.
  • Analyze existing legacy codebases to understand business logic, dependencies, and potential risks during migration.
  • Design and implement solutions that maintain the integrity and functionality of legacy systems while improving performance, scalability, and maintainability.
  • Collaborate closely with cross-functional teams, including developers, business analysts, and project managers, to ensure successful project delivery.
  • Provide technical leadership and guidance to development teams throughout the modernization process.
  • Identify and mitigate risks associated with legacy system migrations, ensuring minimal disruption to business operations.
  • Document architectural designs, migration strategies, and other technical details to ensure transparency and knowledge sharing within the team.
  • Stay current with emerging technologies and best practices in software modernization to continuously improve our methodologies and tools.

LeadershipPythonDesign PatternsJavaSoftware ArchitectureC#Collaboration

Posted 2024-12-01
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🔥 DevOps Engineer
Posted 2024-11-30

🧭 Full-Time

🔍 AI technology

  • Bachelor’s degree in computer science, software engineering, or a related field.
  • 4+ years of experience in DevOps or Cloud Engineering.
  • Strong knowledge of AWS; ideally certified to the associate level.
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Experience with CI/CD tools such as AWS CodePipeline, Jenkins, GitLab CI, or CircleCI.
  • Familiarity with security tools and practices like OWASP, SAST, and DAST.
  • Understanding of network security, firewalls, VPNs, IDS/IPS, and endpoint security.
  • Proficiency in Identity and Access Management (IAM) roles and policies.
  • Strong analytical and problem-solving skills with the ability to propose innovative solutions.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Effective written and oral communication skills at C1/C2 level in English.

  • Design, implement, and manage CI/CD pipelines with a security focus.
  • Automate security testing and integrate security tools into development workflows.
  • Monitor, detect, and respond to security threats and vulnerabilities promptly.
  • Collaborate with development, QA, and IT teams to ensure security best practices are integrated throughout the software lifecycle.
  • Implement and manage infrastructure as code (IaC) using tools such as Pulumi, Terraform, or CloudFormation.
Posted 2024-11-30
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🔥 - DevOps Engineer
Posted 2024-11-28

đź“Ť Argentina

🧭 Full-Time

🔍 AI and software development

  • Bachelor’s degree in computer science, software engineering or related field.
  • 4+ years of experience in DevOps or Cloud Engineering.
  • Strong knowledge of AWS, ideally certified to the associate level (AWS Solutions Architect Associate or AWS SysOps Associate).
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Experience with CI/CD tools (e.g., AWS CodePipeline, Jenkins, GitLab CI, CircleCI).
  • Familiarity with security tools and practices (e.g., OWASP, SAST, DAST).
  • Understanding of network security, firewalls, VPNs, IDS/IPS, and endpoint security.
  • Proficiency in Identity and Access Management (IAM) roles and policies and S3 bucket policies.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a collaborative team in a fast-paced environment.
  • Effective written and oral communications skills – C1/C2 level English is required.

  • Design, implement, and manage CI/CD pipelines with a focus on security at every stage.
  • Automate security testing and integrate security tools into the development workflow.
  • Monitor, detect, and respond to security threats and vulnerabilities in a timely manner.
  • Collaborate with development, QA, and IT teams to ensure security best practices are embedded throughout the software lifecycle.
  • Implement and manage infrastructure as code (IaC) using tools such as Pulumi, Terraform or CloudFormation.

AWSPythonSoftware DevelopmentBashJenkinsQACollaborationCI/CDDevOpsTerraform

Posted 2024-11-28
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🔥 - Machine Learning Engineer
Posted 2024-11-15

đź“Ť Argentina

🧭 Full-Time

🔍 AI and technology

  • 4+ years of Machine Learning experience in a start-up or larger enterprise.
  • 6+ months of experience with Large Language Models (LLMs) and Generative AI applications.
  • Client delivery experience.
  • Effective written and oral communication skills at an advanced level (C1/C2).
  • Bachelor’s degree in computer science, software engineering, or a related field.
  • Experience with cloud environments like AWS, Azure, or GCP.
  • Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, and scikit-learn.
  • Experience developing, deploying, and managing/monitoring models.
  • Knowledge of containerization technologies and microservices architecture.
  • Expertise in Object-Oriented Programming (OOP) and unit test-driven development.
  • Advanced experience in NLP techniques and applications.
  • Strong proficiency in Python programming.

  • Contribute to building and enhancing the Mechanized AI platform and AI-enabled products.
  • Serve as ML Subject Matter Expert (SME) on client projects.
  • Design ML systems and research suitable ML algorithms.
  • Select appropriate datasets and representation methods.
  • Run ML tests and experiments and conduct statistical analysis.
  • Train and retrain systems as required.
  • Extend existing ML libraries and frameworks and stay current with technologies.

AWSDockerPythonGCPKerasKubernetesMachine LearningPyTorchSoftware ArchitectureAlgorithmsAzureData StructuresTensorflowCollaborationTerraformMicroservices

Posted 2024-11-15
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