Design machine learning models to resolve complex problems

Collaborate with multidisciplinary teams to address business requirements and identify machine learning opportunities

Implement robust machine learning infrastructures in active environments

Conduct detailed data analysis and testing to ensure model accuracy and reliability

Optimize the performance and functionality of existing machine learning models

Provide mentorship to junior engineers and lead machine learning projects

Stay updated on advancements in machine learning trends and technologies

Evaluate and incorporate new data sources to improve model performance

Document machine learning workflows and model architectures comprehensively

Present technical insights and model outcomes to stakeholders and team members

At least 3 years of professional experience in Machine Learning Engineering focusing on AWS technologies

Proficiency in Amazon Bedrock for designing and deploying machine learning solutions

Extensive background in Amazon SageMaker for creating and managing machine learning models

Thorough understanding of Amazon S3 for effective data storage and management in machine learning projects

Advanced skills in Python for developing machine learning models

Expertise in Natural Language Processing (NLP) and its practical applications

Strong background in Deep Learning techniques and implementations

Competency in Prompt Engineering to refine machine learning model interaction

Capability to implement Sentiment Analysis in real-world scenarios

Competency in conducting Model Evaluation for NLP to assess model effectiveness

Fluency in English at a B2 level or higher for efficient communication with teams and stakeholders

Familiarity with other cloud platforms like Google Cloud or Microsoft Azure

Qualifications in additional programming languages such as R or Java

Certifications in machine learning, data science, or related disciplines