Senior Machine Learning Engineering Services

Freelance / Contract
Argentina, Brazil, Mexico, Colombia, Chile, Costa Rica
Senior Level
Posted 7 months ago
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The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

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We are seeking to hire a skilled long term Contractor for Senior-level Machine Learning Engineer based out of Brazil, Colombia, Chile, Costa Rica, Argentina, Mexico. This role will focus on developing machine learning algorithms, data analysis, and optimizing data pipelines. The ideal contractor should have strong expertise in developing machine learning algorithms, natural language processing (NLP), and experience working with large-scale data systems.

Scope of Services:

  • Develop and implement machine learning algorithms to solve complex problems.

  • Design and maintain data pipelines, including transformations and preprocessing.

  • Develop methods for effective data analysis and insight generation.

  • Create and optimize innovative algorithms for various applications.

  • Conduct data analysis to identify trends and insights.

  • Test hypotheses and validate models through rigorous experimentation.

Skills & Experience:

  • 5+ years of experience as a Machine Learning Engineer

  • Strong experience in NLP, with a focus on using transformers.

  • Proven experience developing machine learning models and algorithms.

  • Experience with Deep Learning in frameworks such as Tensorflow, Keras or Pytorch

  • Experience working with Google Cloud (preferred).

  • Strong Python programming skills.

  • Expertise in SQL for data manipulation and analysis.

  • Experience with LLMs and Prompt Engineering.

  • Experience developing model APIs using Python frameworks such as FastAPI and BentoML (preferred).

  • Experience with search and recommender systems (preferred).

  • Familiarity with AWS services (preferred).

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits. 

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About the Job
Freelance / Contract
Argentina, Brazil, Mexico, Colombia, Chile, Costa Rica
Senior Level
Posted 7 months ago
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Senior Machine Learning Engineering Services

The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

We are seeking to hire a skilled long term Contractor for Senior-level Machine Learning Engineer based out of Brazil, Colombia, Chile, Costa Rica, Argentina, Mexico. This role will focus on developing machine learning algorithms, data analysis, and optimizing data pipelines. The ideal contractor should have strong expertise in developing machine learning algorithms, natural language processing (NLP), and experience working with large-scale data systems.

Scope of Services:

  • Develop and implement machine learning algorithms to solve complex problems.

  • Design and maintain data pipelines, including transformations and preprocessing.

  • Develop methods for effective data analysis and insight generation.

  • Create and optimize innovative algorithms for various applications.

  • Conduct data analysis to identify trends and insights.

  • Test hypotheses and validate models through rigorous experimentation.

Skills & Experience:

  • 5+ years of experience as a Machine Learning Engineer

  • Strong experience in NLP, with a focus on using transformers.

  • Proven experience developing machine learning models and algorithms.

  • Experience with Deep Learning in frameworks such as Tensorflow, Keras or Pytorch

  • Experience working with Google Cloud (preferred).

  • Strong Python programming skills.

  • Expertise in SQL for data manipulation and analysis.

  • Experience with LLMs and Prompt Engineering.

  • Experience developing model APIs using Python frameworks such as FastAPI and BentoML (preferred).

  • Experience with search and recommender systems (preferred).

  • Familiarity with AWS services (preferred).

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits.