ApplyMachine Learning Engineer
Posted 2 months agoViewed
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💎 Seniority level: Senior, 3+ years
📍 Location: Mexico
🔍 Industry: Machine Learning
🏢 Company: Sourcescrub
⏳ Experience: 3+ years
🪄 Skills: AWSPythonSQLAgileGitMachine LearningNumpyPyTorchAzureData engineeringPandasTensorflowAttention to detail
Requirements:
- 3+ years of proven experience as an Applied ML Engineer or similar role, focusing on Python.
- 3+ years of advanced Python skills with strong experience in libraries such as Pandas, NumPy, TensorFlow, PyTorch, and Scikit-Learn.
- Demonstrated experience deploying and optimizing ML models at scale, with knowledge of LLMs and other scalable architectures.
- 3+ years of strong knowledge of SQL and database management for data storage and retrieval.
- 2+ years of experience with version control, particularly Git.
- Strong analytical, problem-solving, and attention to detail skills.
- Excellent communication and teamwork, particularly in agile environments.
Responsibilities:
- Develop and maintain ML models focusing on scalability, particularly for deploying and optimizing LLMs in production environments.
- Collaborate with cross-functional teams to deliver end-to-end ML solutions, from data preprocessing to model deployment.
- Implement data preprocessing, feature engineering, and model evaluation processes to ensure high standards of accuracy and efficiency.
- Develop and manage ML pipelines in Python for performance at scale.
- Leverage cloud platforms (e.g., Azure, AWS) for deploying, scaling, and monitoring models in production.
- Stay current with advancements in LLMs, ML frameworks, and Python development best practices.
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