This role is for one of the Weekday's clients
We are looking for a talented ML Engineer to join our team, where you'll design, develop, and deploy machine learning models to address real-world challenges and enhance our product offerings. In this role, you'll collaborate with data scientists, software engineers, and other cross-functional teams to build scalable ML solutions and ensure seamless model integration into production.
Key Responsibilities
- Design and implement machine learning models and algorithms to meet business needs.
- Preprocess, clean, and transform data for optimal model training.
- Work with cross-functional teams to integrate ML models into production environments.
- Conduct experiments to evaluate and validate model performance and accuracy.
- Monitor and troubleshoot model performance, implementing improvements as needed.
- Stay current with the latest advancements in machine learning to deliver state-of-the-art solutions.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Demonstrated experience in building and deploying machine learning models.
- Proficiency in programming languages such as Python, R, or Java.
- Familiarity with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong skills in data preprocessing, feature engineering, and model evaluation.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
- Excellent problem-solving skills and strong attention to detail.
Skills: tensorflow,natural language processing,python,java,model evaluation,ml,gcp,r,aws,azure,pytorch,scikit-learn,feature engineering,machine learning,data preprocessing
