Design machine learning models to solve complex problems

Collaborate with cross-functional teams to identify business needs and apply machine learning strategies

Build and manage scalable machine learning infrastructures for production

Analyze datasets to verify model accuracy and reliability

Boost the performance and scalability of existing machine learning models

Guide junior engineers and direct machine learning projects

Stay updated on the latest advancements in machine learning technology

Incorporate new data sources to expand model functionality

Create detailed technical documentation for machine learning workflows and model designs

Present technical findings and model outcomes to team members and stakeholders

3+ years of experience in Machine Learning Engineering with expertise in AWS environments

Proficiency in Amazon Bedrock for creating and deploying machine learning solutions

Competency in using Amazon SageMaker for managing machine learning models

Understanding of Amazon S3 for efficient data storage and handling in machine learning applications

Advanced skills in Python for the development of machine learning models

Expertise in Natural Language Processing (NLP) and its applications

Background in Deep Learning and its practical implementation

Knowledge of Prompt Engineering to optimize model interaction

Experience conducting Sentiment Analysis in real-world scenarios

Qualifications in Model Evaluation for NLP with a focus on performance assessment

English proficiency at a B2 level or higher for effective communication

Familiarity with other cloud platforms like Google Cloud or Microsoft Azure

Skills in programming languages such as R or Java

Relevant certifications in machine learning, data science, or related fields