Machine Learning Engineer

hace 3 semanas

Colombia Mechanized AI Inc. A tiempo completo
Job Title: Machine Learning Engineer

Job Type: Full-Time

Location: Remote

Company Description:

Mechanized AI Inc. is a leading provider of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. Our team thrives on solving complex challenges and delivering innovative solutions.

Job Summary:

We are seeking an experienced Machine Learning Engineer to join our growing team. The ideal candidate will have a background in Machine Learning (ML) with at least four years of experience outside of academia.

Key Responsibilities:

  • Contribute to building and enhancing our Mechanized AI platform and AI-enabled products.
  • Design ML systems and research and implement appropriate ML algorithms and tools.
  • Select appropriate datasets and data representation methods.
  • Run ML tests and experiments and perform statistical analysis and fine-tuning using test results.
  • Train and retrain systems when necessary and extend existing ML libraries and frameworks.
  • Stay current with emerging technologies and ML best practices to continuously improve our methodologies and tools.

Required Skills & Experience:

  • 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.
  • 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.

Preferred Qualifications:

Experience in any of the following:

  • Agent development.
  • Data privacy.
  • Fine tuning LLMs.
  • LLM architecture and techniques for performance.
  • MLOps.
  • ML evaluation.
  • Model decay and data drift detection and handling.
  • Pulumi, Terraform and/or Cloud SDKs.
  • PySpark.
  • Quantization.
  • Retrieval-augmented generation (RAG) optimization.
  • Security.
  • Vector databases.

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