Data Science/MLOps Engineer

Description

Summary: Be an expert in Foundation Models, collaborating with teams to innovate and create impactful data solutions. Highlights: 1. Innovate and create impactful solutions 2. Collaborate with various teams 3. Shape the future of our projects **THE WORK:** Embrace the opportunity to innovate and create impactful solutions! You will be a subject matter expert, collaborating with various teams to contribute to key decisions and provide solutions to challenges that arise. Your expertise in Foundation Models will be invaluable as you engage with multiple teams and help shape the future of our projects. We are excited to see how your contributions will make a difference in our organization! Develop reusable workflows that enhance data ingestion, quality, transformation, and optimization. Build scalable data pipelines utilizing exact, transform, and load tools. Deploy data solutions effectively in production environments. Migrate data from legacy data warehouses while adhering to cloud architecture principles. Automate data flow processes to facilitate consumption and enhance efficiency. **HERE'S WHAT YOU WILL NEED:** Master proficiency in Foundation Models. Expert proficiency in Amazon Bedrock. A minimum of 2 years of experience in relevant related skills. Bachelor's Degree in relevant field of studies. **BONUS POINTS IF YOU HAVE:** Expert proficiency in Amazon Sagemaker. Expert proficiency in LLMOps. Expert proficiency in Machine Learning. Expert proficiency in Python Software Development. **THE WORK:** Embrace the opportunity to innovate and create impactful solutions! You will be a subject matter expert, collaborating with various teams to contribute to key decisions and provide solutions to challenges that arise. Your expertise in Foundation Models will be invaluable as you engage with multiple teams and help shape the future of our projects. We are excited to see how your contributions will make a difference in our organization! Develop reusable workflows that enhance data ingestion, quality, transformation, and optimization. Build scalable data pipelines utilizing exact, transform, and load tools. Deploy data solutions effectively in production environments. Migrate data from legacy data warehouses while adhering to cloud architecture principles. Automate data flow processes to facilitate consumption and enhance efficiency. **HERE'S WHAT YOU WILL NEED:** Master proficiency in Foundation Models. Expert proficiency in Amazon Bedrock. A minimum of 2 years of experience in relevant related skills. Bachelor's Degree in relevant field of studies. **BONUS POINTS IF YOU HAVE:** Expert proficiency in Amazon Sagemaker. Expert proficiency in LLMOps. Expert proficiency in Machine Learning. Expert proficiency in Python Software Development.