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ML Tech Lead (GenAI, AWS)

1 month ago
Colombia
Full-time
Lead
Machine Learning Engineer
Software Development
AWS CI/CD Generative AI Git LLM Machine Learning MLOps PyTorch Scikit-learn TensorFlow
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Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 30

Description

  • Set technical direction and standards for machine learning projects.
  • Make architectural decisions for machine learning systems.
  • Review and approve technical designs.
  • Identify and address technical debt across ML solutions.
  • Champion best practices in ML engineering and troubleshoot complex technical challenges.
  • Evaluate and introduce new technologies and tools.
  • Mentor junior and mid-level ML engineers and conduct technical code reviews.
  • Provide guidance on technical problem-solving, debugging, workshops, and documentation.
  • Build technical competency across the team and create learning and growth paths.
  • Contribute code to critical or complex components and develop proof-of-concepts for new approaches.

Requirements

  • Advanced knowledge across multiple machine learning domains.
  • Extensive experience building production-grade machine learning systems.
  • Ability to design scalable, maintainable ML architectures.
  • Strong understanding of ML infrastructure, operations, and MLOps.
  • Experience with modern LLM-based applications and RAG.
  • Proficiency across TensorFlow, PyTorch, and scikit-learn.
  • Advanced AWS experience, with familiarity with other cloud platforms.
  • Understanding of data pipelines and data infrastructure.
  • Ability to design complex distributed systems.
  • Experience optimizing ML models and infrastructure.
  • Writes exemplary, maintainable code with strong testing practices.
  • Experience building and maintaining CI/CD and ML pipelines.
  • Advanced Git workflows, collaboration patterns, and clear technical documentation.
  • Experience working as a technical lead or in a hands-on senior ML engineering role.
  • Nice to have: willingness to support knowledge sharing through workshops and mentorship.

Benefits

  • Long-term B2B collaboration.
  • Fully remote setup.
  • Budget for medical insurance.
  • Paid sick leave, vacation, and public holidays.
  • Continuous learning support.
  • Unlimited AWS certification sponsorship.

Interested in this position?

Apply directly on the company website

Apply Now

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