Machine Learning Engineer

hace 4 semanas

Bogotá, Bogotá D.E., Colombia Provectus A tiempo completo

Unlock Your Potential as a Machine Learning Engineer

Bogotá, Capital District, Medellín, Antioquia

About the Project

Join Provectus to be part of a team that builds cutting-edge technology solutions with a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push boundaries.

As an ML Engineer, you'll have opportunities for development and growth.

Key Responsibilities:

  • Create ML models from scratch or improve existing ones.
  • Collaborate with the engineering team, data scientists, and product managers on production models.
  • Develop an experimentation roadmap.
  • Set up a reproducible experimentation environment and maintain experimentation pipelines.
  • Monitor and maintain ML models in production to ensure optimal performance.
  • Write clear and comprehensive documentation for ML models, processes, and pipelines.
  • Stay updated with the latest developments in ML and AI and propose innovative solutions.

Requirements:

  • Comfortable with standard ML algorithms and underlying math.
  • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems.
  • AWS Bedrock experience strongly preferred.
  • Practical experience with solving classification and regression tasks in general, feature engineering.
  • Practical experience with ML models in production.
  • Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
  • Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
  • Python expertise, Docker.
  • English level - strong Intermediate.
  • Excellent communication and problem-solving skills.

Preferred Qualifications:

  • Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
  • Practical experience with deep learning models.
  • Experience with taxonomies or ontologies.
  • Practical experience with machine learning pipelines to orchestrate complicated workflows.
  • Practical experience with Spark/Dask, Great Expectations.

What We Offer:

  • A dynamic and innovative work environment.
  • Opportunities for growth and development.
  • A competitive salary and benefits package.

How to Apply:

Please submit your resume and a cover letter outlining your experience and qualifications.

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