
Intelligent System Developer
5 days ago
As a senior machine learning developer in the data science and artificial intelligence competency center, you will be part of the AI engineering group that focuses on the technical and engineering aspects of DS/ML/AI solutions.
Key responsibilities include:
- Designing and implementing high-performing, scalable, enterprise-grade ML/AI applications in cloud environments
- Collaborating with data science, data engineering, and cloud teams to implement machine learning models into production
- Developing practical and innovative implementations of ML/AI automation for scale and efficiency
- Designing, delivering, and managing industrialized processing pipelines
- Defining and implementing best practices in ML models life cycle and ML operations
- Implementing AI/MLOps frameworks and supporting data science teams in best practices
- Gathering and applying knowledge on 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 technical documentation and presenting solutions, concepts, and results to internal and external clients
Key requirements include:
- Good understanding of ML/AI concepts, including types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, and AI architectures
- Experience in programming ML algorithms and data processing pipelines using Python
- At least 6-8 years of experience in production-ready code development
- Practical experience with implementing ML solutions on GCP Vertex.AI and/or Databricks
- Strong communication skills, ability to work in a team, and take responsibility for tasks and deliverables
Offerings include:
A stable employment environment, flexibility regarding working hours, and full-time position.
Unlimited access to the Udemy learning platform, certificate training programs, upskilling support, and opportunities to grow within the organization.
Participate in a diverse, inclusive, and values-driven community, autonomy to choose your work style, and activities to support your well-being and health.
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