
Senior Machine Learning Architect
1 dia atrás
We are currently seeking a Senior Machine Learning Architect to design and develop large-scale architectures, workflows, tools, and automation for processing data. The ideal candidate will apply machine learning engineering principles to solve global business challenges with a focus on making tasks easier for data scientists.
Responsibilities:- Develop and implement end-to-end machine learning solutions that drive business value.
- Collaborate with data engineers and data scientists to create highly scalable and efficient solutions.
- Evaluate and optimize the performance and cost of cloud-based architectures.
- Communicate and teach on how to use machine learning developments.
- Bachelor's Degree in Computer Science, Engineering, or a related field.
- 5+ Years of experience implementing and deploying machine learning solutions.
- Advanced Python programming skills.
- Experience working with SQL, Spark, and cloud environments (AWS or GCP).
- Knowledge of containerization and orchestration tools.
- Version control system expertise, preferably Git.
- Workflow orchestration tool experience, such as Airflow.
- Data architecture and systems integration knowledge.
- Ability to troubleshoot and solve complex software system issues.
- Experience automating machine learning lifecycles and managing end-to-end ML solutions.
- Familiarity with scripting languages like Bash.
- Web framework experience for serving ML models.
- AWS SageMaker Studio and infrastructure-as-code tools expertise.
- Understanding of the software development life cycle and ability to integrate ML solutions with other technical teams.
- Strong communication skills to explain technical solutions to different stakeholders.
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