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Machine Learning Engineer

hace 2 meses

Colombia Provectus IT, Inc. A tiempo completo
About Provectus IT, Inc.

We are a cutting-edge technology company dedicated to building innovative solutions that positively impact society. Our expertise lies in AI and ML technologies, cloud services, and data engineering.

Job Description

We are seeking a highly skilled Machine Learning Engineer to join our team. As an ML Engineer, you will be responsible for creating and improving ML models, collaborating with the engineering team, data scientists, and product managers on production models, and setting up reproducible experimentation environments.

Key Responsibilities:

  • Create ML models from scratch or improve existing models.
  • Collaborate with the engineering team, data scientists, and product managers on production models.
  • 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).
  • 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.

We offer a dynamic work environment, opportunities for development and growth, and a chance to be part of a team that is shaping the future of technology.