Machine Learning Engineer

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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.