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Principal Machine Learning Engineer

Posted 2024-11-20

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πŸ’Ž Seniority level: Principal, 6+ years

πŸ“ Location: Colombia

πŸ” Industry: Communications

πŸ—£οΈ Languages: English

⏳ Experience: 6+ years

πŸͺ„ Skills: AWSDockerPythonSQLHadoopKerasKubernetesMachine LearningMySQLNumpySalesforceData sciencePandasSparkCommunication Skills

Requirements:
  • Typically 6+ years of proven experience in data science, focusing on LLMs and supervised ML models.
  • Proficiency in programming languages such as Python or R, with experience in SciKit-Learn, XGBoost, Keras.
  • Strong understanding of data processing and transformation techniques, including SQL and big data technologies.
  • Experience developing, training, and deploying ML models and Python applications in production environments.
  • Familiarity with cloud platforms like AWS Sagemaker and containerization tools like Docker and Kubernetes.
  • Excellent problem-solving skills and strong communication skills.
Responsibilities:
  • Build and deploy machine learning models, including propensity models and GenAI applications.
  • Collaborate closely with product, program, analytics, and engineering teams to refine models.
  • Leverage technical stack including Python, SQL, R, AWS, and data science libraries for AI/ML solutions.
  • Utilize enterprise data sources like Salesforce and Zendesk for model development.
  • Apply knowledge of LLMs to develop innovative solutions.
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