
Machine Learning Solutions Developer
1 week ago
We are seeking experienced AI engineers to join our team in the Data Science & AI competency center. The successful candidate will be part of the AI engineering group, focusing on technical and engineering aspects of DS/ML/AI solutions.
- Designing and implementing high-performing, scalable enterprise-grade ML/AI applications in cloud environments.
- Collaborating with data science, data engineering, and cloud teams to integrate machine learning models into production.
- Developing practical and innovative implementations of ML/AI automation for scale and efficiency.
- Creating industrialized processing pipelines and defining best practices for ML model lifecycle management.
- Implementing AI/MLOps frameworks and supporting data science teams in adopting best practices.
- Gathering knowledge on modern techniques, tools, and frameworks in ML architecture and operations.
- Evaluating technical requirements and estimating planned work.
- Presenting solutions, concepts, and results to internal and external stakeholders.
- Serving as a technical leader on ML projects, defining tasks, guidelines, and evaluating results.
- Producing technical documentation.
- Mentoring junior engineers.
- A solid understanding of ML/AI concepts, including types of algorithms, machine learning frameworks, model efficiency metrics, and model life-cycle management.
- A strong grasp of cloud concepts and architectures, as well as working knowledge of selected cloud services, preferably GCP.
- Experience in programming ML algorithms and data processing pipelines using Python.
- At least 6-8 years of experience in developing production-ready code.
- Expertise 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 responsibility for tasks and deliverables.
- Superb problem-solving skills and critical thinking.
- Fluency in written and spoken English.
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