
Senior AI/ML Engineer Position
5 days ago
**AI/ML Specialist Role Summary:**
We are seeking an exceptional AI/ML specialist to join our team and contribute to the development of cutting-edge machine learning solutions.
This is a unique opportunity to leverage your technical expertise in building high-performing, scalable, and enterprise-grade ML/AI applications. You will be part of a dynamic team that collaborates with data science, engineering, and cloud teams to implement machine learning models into production.
Key Responsibilities:- Design and develop high-quality ML/AI applications using cloud-native technologies.
- Collaborate with cross-functional teams to implement ML models into production, ensuring seamless integration with existing systems.
- Develop practical and innovative automation solutions for scale and efficiency.
- Lead the design, delivery, and management of industrialized processing pipelines.
- Promote best practices in ML model lifecycle and operations.
- Implement AI/MLOps frameworks and support data science teams in adopting best practices.
- Stay up-to-date with modern techniques, tools, and frameworks in ML architecture and operations.
- Demonstrated expertise in ML/AI concepts, including types of algorithms, machine learning frameworks, and model life-cycle.
- Strong understanding of cloud concepts and architectures, as well as working knowledge with selected cloud services (e.g., GCP).
- Proficiency in programming ML algorithms and data processing pipelines using Python.
- A minimum of 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 and ability to work in a team.
- Ability to take responsibility for tasks and deliverables.
- Great problem-solving skills and critical thinking.
- Practical experience with other programming languages (e.g., PySpark, Scala, R, Java).
- Experience with tools like AirFlow, ADF, or Kubeflow.
- Good understanding of CI/CD and DevOps concepts, and experience working with selected tools (e.g., GitHub Actions, GitLab, Azure DevOps).
- Stable employment with a strong company culture.
- 100% remote work arrangement.
- Flexibility regarding working hours.
- Comprehensive online onboarding program with a
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