Senior Machine Learning Engineering Services

Summary

Join our team as a Contract Sr. Machine Learning Engineer based in Argentina or Mexico! This role centers on developing machine learning algorithms, performing data analysis, and optimizing data pipelines. The ideal candidate will possess strong expertise in developing machine learning algorithms and natural language processing (NLP), along with experience handling large-scale data systems. You will be responsible for developing and implementing machine learning algorithms, designing and maintaining data pipelines, and conducting data analysis to identify trends and insights. The position requires significant experience in machine learning engineering and specific skills in NLP, deep learning, and data manipulation. While benefits are not offered due to the contract nature of this role, the opportunity to work on complex problems and contribute to innovative solutions is significant.

Requirements

• 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
• Strong Python programming skills
• Expertise in SQL for data manipulation and analysis
• Experience with LLMs and Prompt Engineering

Responsibilities

• 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

Preferred Qualifications

• Experience working with Google Cloud (preferred)
• 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)