Codento is a leading provider of data management and data engineering services, specializing in helping businesses unlock the full potential of their data. Our mission is to empower organizations to make data-driven decisions and drive business growth through innovative data solutions. Job Summary
We are seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer at Codento, you will play a key role in helping our clients capitalize on the opportunities presented by data and machine learning. Your expertise will be instrumental in building and deploying machine learning models that drive business value and inform strategic decision-making. Key Responsibilities
Design and develop machine learning models that meet business requirements and drive business value
Collaborate with cross-functional teams to understand business needs and translate them into technical requirements
Work with data engineers to design and implement data pipelines and architectures that support machine learning workloads
Develop and maintain MLOps pipelines and tools to ensure efficient and scalable machine learning operations
Stay up-to-date with the latest advancements in machine learning and data engineering, and apply this knowledge to drive innovation and improvement in our services
Requirements
Strong background in machine learning and data engineering, with a focus on building and deploying machine learning models in production environments
Experience with cloud infrastructure, particularly AWS, Azure, or GCP
Proficiency in Python and experience with MLOps tools and pipelines
Strong understanding of data lake infrastructure, data warehousing, and data analytics tools
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Fluency in English, with the ability to communicate complex technical concepts to non-technical stakeholders
What We Offer
A dynamic and collaborative work environment with a team of experienced professionals
Opportunities for professional growth and development, with a focus on staying up-to-date with the latest advancements in machine learning and data engineering
A comprehensive benefits package, including health insurance, retirement plan, and paid time off
The chance to work on challenging and high-impact projects that drive business value and inform strategic decision-making
