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4 days ago
A top performer in AI/ML Engineering is required to join our Data Science & AI Competency Center. As a key member of the AI Engineering group, you will be responsible for helping us bring AI/ML solutions into production, automating processes, and defining reusable best practices and accelerators.
Duties and Responsibilities:- Designing and developing high-performing, scalable enterprise-grade ML/AI applications in cloud environments
- Collaborating with cross-functional teams including Data Science, Data Engineering, and Cloud teams to implement Machine Learning models into production
- Developing practical and innovative ML/AI automation solutions for scale and efficiency
- Defining and implementing best practices in ML model life cycles and operations
- Implementing AI/MLOps frameworks and supporting Data Science teams in best practices
- Staying up-to-date with modern techniques, tools, and frameworks in the area of ML Architecture and Operations
- Providing technical leadership on ML projects, defining tasks, guidelines, and evaluating results
- Creating comprehensive technical documentation
- Supporting and mentoring junior engineers
- Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures
- Good understanding of Cloud concepts and architectures as well as working knowledge with selected cloud services, preferably GCP
- Experience in programming ML algorithms and data processing pipelines using Python
- At least 6-8 years of experience in production-ready code development
- Experience in designing and implementing data pipelines
- Practical experience with implementing ML solutions on GCP Vertex.AI and/or Databricks
- Excellent communication skills
- Ability to work collaboratively and support others
- Taking ownership of tasks and deliverables
- Exceptional problem-solving skills and critical thinking
- Fluency in written and spoken English
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