We are on the lookout for a seasoned Senior Machine Learning Engineer to strengthen our team. This position is perfect for a professional eager to apply their AI and machine learning expertise to spearhead transformative projects and solutions. The selected candidate will play a key role in enhancing and refining our sophisticated machine learning models and systems, aligning them with the diverse needs of our applications. **Responsibilities** * Architect and engineer machine learning models to address complex challenges * Work alongside multidisciplinary teams to grasp business needs and explore machine learning opportunities * Deploy robust machine learning infrastructures in live environments * Perform thorough data evaluations and tests to validate model precision and dependability * Enhance the performance and efficiency of current machine learning models * Mentor junior engineers and lead machine learning initiatives * Keep abreast of emerging machine learning trends and technologies * Assess and assimilate new data sources to augment model capabilities * Record detailed documentation of machine learning procedures and model structures * Communicate technical insights and model results to stakeholders and team members **Requirements** * At least 3 years of professional experience in Machine Learning Engineering, with a focus on AWS technologies * Demonstrated proficiency with Amazon Bedrock for the development and deployment of machine learning solutions * Comprehensive experience in utilizing Amazon SageMaker to develop and manage machine learning models * Profound understanding of Amazon S3 for effective data storage and handling in machine learning projects * Advanced proficiency in Python for machine learning model development * Specialized knowledge in Natural Language Processing (NLP) and its applications * Extensive experience with Deep Learning techniques and their implementation * Skilled in Prompt Engineering to improve machine learning model interaction * Adept in implementing Sentiment Analysis in practical scenarios * Ability to perform effective Model Evaluation for NLP to verify model performance * Fluent in English at a B2 level or higher, necessary for efficient team collaboration and communication with stakeholders **Nice to have** * Experience with other cloud platforms such as Google Cloud or Microsoft Azure * Knowledge of additional programming languages like R or Java * Relevant certifications in machine learning, data science, or associated fields