Machine Learning Engineer

About this role

About the role: - Build, refine and deploy machine learning systems that solve real-world problems - Develop end-to-end pipelines from raw data to production models - Evaluate model performance and iterate to improve accuracy and efficiency - Collaborate with teams to understand requirements and translate them into technical solutions What you'll work on: - Preprocessing and cleaning datasets for model training - Engineering features that drive better model performance - Training and tuning machine learning models across different algorithms - Testing and validating models before they go live - Implementing models in production environments What we're looking for: - Proficiency in Python programming - Solid grasp of data structures and algorithms - Hands-on experience with at least one of: Scikit-learn, TensorFlow, or PyTorch - Working knowledge of machine learning fundamentals including how models are trained and evaluated - Ability to prepare data and engineer features for modeling - Familiarity with deploying models to production systems