MLops Consultant

Position: MLops Consultant Location: Mexico Industry: CPRD Work modality: Hybrid Your functions: Design, implement, and optimize the infrastructure and processes necessary for the complete life cycle of Machine Learning models, ensuring their deployment, monitoring, and maintenance in productive environments in an efficient and scalable manner. Define and build CI/CD pipelines for Machine Learning models. Automate training, validation, and deployment processes of models. Develop and maintain a deep understanding of machine learning algorithms and their applications. Collaborate with data scientists to design and implement machine learning models. Work closely with the data engineering team to ensure seamless integration with data pipelines. Ensure compliance with company policies and procedures. Participate in code reviews and contribute to the development of high-quality software. Develop and maintain technical documentation for MLops processes and tools. Stay up-to-date with industry trends and advancements in machine learning, deep learning, and related technologies. Provide expert-level support to stakeholders on MLops-related topics. Develop and maintain a strong understanding of cloud-based platforms such as AWS or GCP. Develop and maintain expertise in data visualization tools such as Tableau or Power BI. Develop and maintain expertise in programming languages such as Python or R. Develop and maintain expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. Develop and maintain expertise in deep learning frameworks such as Keras or Caffe. Develop and maintain expertise in natural language processing (NLP) tools such as NLTK or spaCy. Develop and maintain expertise in computer vision tools such as OpenCV or Pillow. Develop and maintain expertise in data preprocessing and feature engineering techniques. Develop and maintain expertise in model evaluation and selection methods. Develop and maintain expertise in hyperparameter tuning and optimization techniques. Develop and maintain expertise in model interpretability and explainability techniques.