Design machine learning models to solve complex problems

Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities

Deploy reliable machine learning infrastructures in production environments

Conduct detailed data analysis and testing to confirm model performance and accuracy

Improve the efficiency and effectiveness of current machine learning models

Provide mentorship to junior engineers and oversee machine learning initiatives

Stay updated on emerging trends and innovations in machine learning

Evaluate and integrate new data sources to expand model capabilities

Document machine learning processes and model frameworks comprehensively

Share technical insights and model outcomes with stakeholders and team members

Minimum of 3 years professional experience in Machine Learning Engineering, with AWS technologies

Proficiency in Amazon Bedrock for building and deploying machine learning solutions

Experience in Amazon SageMaker for developing and managing machine learning models

Understanding of Amazon S3 for data storage and handling within machine learning projects

Advanced proficiency in Python for machine learning model creation

Background in Natural Language Processing (NLP) and its applications

Expertise in Deep Learning techniques and associated implementations

Skills in Prompt Engineering to enhance machine learning model interactions

Competency in performing Sentiment Analysis in practical applications

Qualifications in Model Evaluation for NLP to ensure model effectiveness

Familiarity with English at a B2 level or higher for team collaboration and communication with stakeholders

Background in other cloud platforms such as Google Cloud or Microsoft Azure

Skills in additional programming languages like R or Java

Qualifications in machine learning, data science, or related disciplines