Design and develop machine learning models to solve complex business problems, ensuring scalability, reliability, and accuracy

Collaborate with cross-functional teams to gather requirements, understand business needs, and develop solutions that meet customer expectations

Develop and deploy machine learning systems using Amazon SageMaker and Amazon Web Services, ensuring high performance and scalability

Conduct experiments and analyze data to validate and improve machine learning models

Optimize and fine-tune machine learning models to improve performance and accuracy

Stay up-to-date with the latest trends and advancements in machine learning and data science, and apply them to the project

3+ years of experience in Data Science

Strong proficiency in Amazon SageMaker and Amazon Web Services, enabling you to develop and deploy scalable and reliable machine learning systems

In-depth knowledge of machine learning algorithms, deep learning models, and statistical analysis techniques

Strong understanding of data structures, data modeling, and software architecture principles

Ability to work with large datasets and design efficient data pipelines

Excellent problem-solving skills and ability to troubleshoot complex issues

Strong focus on teamwork and exceptional interpersonal skills, allowing you to collaborate effectively with cross-functional teams

Fluent spoken and written English at an upper-intermediate level or higher

Experience with distributed computing frameworks such as Apache Spark and Hadoop

Experience with natural language processing and computer vision

Experience with Docker and Kubernetes for containerization and orchestration

Experience with data visualization tools such as Tableau and Power BI

Experience with Agile methodologies and project management tools