We are searching for a skilled **Senior Machine Learning Engineer** to enhance our team. This position is ideal for professionals keen to apply their AI and machine learning capabilities to lead impactful projects and solutions. The candidate will focus on optimizing and advancing sophisticated machine learning systems to meet diverse application needs. **Responsibilities** * Design machine learning models to solve complex problems * Collaborate with interdisciplinary teams to understand business needs and identify machine learning opportunities * Deploy robust infrastructures for machine learning in production environments * Analyze data to validate model accuracy and reliability * Improve the performance and capabilities of existing machine learning models * Guide junior engineers and drive machine learning projects * Stay informed about the latest machine learning trends and advancements * Evaluate and integrate new data sources to expand model functionality * Document machine learning workflows and model architectures comprehensively * Present technical insights and model results to stakeholders and colleagues **Requirements** * Minimum of 3 years of experience in Machine Learning Engineering, emphasizing AWS technologies * Competency in Amazon Bedrock for creating and deploying machine learning solutions * Proficiency in Amazon SageMaker for building and maintaining machine learning workflows * Understanding of Amazon S3 for optimized data storage and processing in ML projects * Expertise in Python for the development of machine learning models * Background in Natural Language Processing (NLP) and real\-world applications * Knowledge of Deep Learning strategies and their practical use * Skills in Prompt Engineering to refine model interactions * Capability to implement Sentiment Analysis in operational use cases * Familiarity with Model Evaluation practices for NLP in performance validation * Comfortable using English at a B2 level or higher for effective collaboration and communication **Nice to have** * Background in alternative cloud solutions, including Google Cloud or Microsoft Azure * Proficiency in supplementary programming languages such as R or Java * Qualifications in machine learning, data science, or relevant technical fields