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Data Science/MLOps Engineer
Madrid
Job No. 13453566
Full-time - Hybrid
Job Description
THE WORK: Embrace the opportunity to innovate and excel! You will have the chance to perform independently and become a subject matter expert while actively participating in discussions that contribute to providing solutions for work-related challenges. Your expertise in Foundation Models will be invaluable as you engage in exciting projects that drive impactful results. We look forward to your unique contributions and insights!
Develop reusable workflows that enhance data ingestion, quality, transformation, and optimization.
Build scalable data pipelines utilizing various tools for extraction, transformation, and loading.
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 seamless consumption.
Design and implement business processes that support data governance.
Advise on data quality rules and establish effective data compliance policies.
HERE'S WHAT YOU WILL NEED:
Master proficiency in Foundation Models.
Expert proficiency in Amazon Bedrock.
A minimum of 1 year of experience in relevant related skills.
Bachelor's Degree in relevant field of studies.
BONUS POINTS IF YOU HAVE:
Master proficiency in Amazon Sagemaker.
Master proficiency in Machine Learning.
Master proficiency in Python Software Development.
Expert proficiency in LLMOps.
Qualifications
THE WORK: Embrace the opportunity to innovate and excel! You will have the chance to perform independently and become a subject matter expert while actively participating in discussions that contribute to providing solutions for work-related challenges. Your expertise in Foundation Models will be invaluable as you engage in exciting projects that drive impactful results. We look forward to your unique contributions and insights!
Develop reusable workflows that enhance data ingestion, quality, transformation, and optimization.
Build scalable data pipelines utilizing various tools for extraction, transformation, and loading.
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 seamless consumption.
Design and implement business processes that support data governance.
Advise on data quality rules and establish effective data compliance policies.
HERE'S WHAT YOU WILL NEED:
Master proficiency in Foundation Models.
Expert proficiency in Amazon Bedrock.
A minimum of 1 year of experience in relevant related skills.
Bachelor's Degree in relevant field of studies.
BONUS POINTS IF YOU HAVE:
Master proficiency in Amazon Sagemaker.
Master proficiency in Machine Learning.
Master proficiency in Python Software Development.
Expert proficiency in LLMOps.
