Machine Learning Engineer

hace 3 días


Ciudad de México, Ciudad de México Mechanized Ai A tiempo completo
Job Title: Machine Learning Engineer

About Us:

Mechanical AI is a leading innovator in AI technology, transforming legacy systems into modern, efficient, and scalable solutions. We work with enterprise clients to breathe life into their existing software, ensuring they can meet the demands of today's fast-paced digital landscape.

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 with at least four years of experience outside of academia. They must be passionate about AI and stay up to date with the latest developments in the field.

Key Responsibilities:

  • Contribute to building and enhancing our Mechanized AI platform and AI-enabled products.
  • Design ML systems and serve as ML SME on client projects as needed.
  • 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.

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.
  • 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.

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.

Why Join Us:

Mechanical AI is committed to fostering an environment that encourages creativity, collaboration, and continuous learning. We offer a dynamic and challenging work environment that allows our team members to grow and develop their skills.

How to Apply:

Please submit your application, including your resume and a cover letter, to [insert contact information].



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