Lead and mentor agile team of data and AI/ML engineers towards self-organization and empowerment
Pioneer close collaboration with data/feature analysts and data scientist in virtual team setup based on principles of agile and open-source
Conduct performance reviews and provide professional development opportunities
Present team achievements in internal and external events
Continuous Improvement, Technical Excellence and Accountability:
Ensure proper data model design and feasibility of data products including AI/ML model training/serving, act as a primary contact for technical aspects of data product
Oversee the technical design and implementation compliance with company strategy and policies
Follow, select and apply the latest technologies and best practices in data integration and AI/ML
Delivery Tracking:
Oversee the end-to-end development process from technical perspective
Ensure projects are delivered on time, within scope, in alignment with product owner and users’ expectations, including non-functional requirements (performance, security, stability, observability, continuity)
Manage expectations, risks and resolve issues that arise during development
Collaboration with Product Owner:
Work closely with the Product Owner to align development efforts with product goals
Provide technical input and feasibility assessments for product features and enhancements
Ensure clear communication and coordination between the team and the Product Owner
Automated testing, code quality and documentation:
Implement and maintain quality standards for data products
Ensure regular testing and validation are implemented as vital part of automated CI/CD
Monitor and improve the performance and efficiency of data flows
Data Governance and Compliance:
Ensure data products comply with relevant data privacy and security regulations and policies
Manage data access and usage to protect personal data and other sensitive information
KEY REQUIREMENTS
Bachelor’s degree in computer science, engineering or related field
Previous experience with leading data engineering or AI/ML engineering team
5+ years in a software development environment preferably involving cross-team dependencies.
Good knowledge of data modelling, integration, transformation and MLOps on following (or similar) platforms: KServe, Spark, MLflow, Trino, Cassandra, Airflow, Kafka, CEPH, Jupyter, Gitlab, OpenMetadata
Good level of understanding of typical data consumer use cases including applications, model training, model serving and various visualization tools (PowerBI, Grafana, Evidently).
Ready to put your hands on to solve the problem
Thorough understanding and appreciation for the agile and open-source software values and principles
You’re comfortable around people, your domain expertise coexists with your strong ability to negotiate, influence and provide feedback
You prefer trusting people and empowerment over micro-management
You seek continual improvement - Constantly learning to grow your expertise, yourself, and your team.
Attitude of transparency – Desire and aptitude to bring disclosure and to grow trust between the business and IT
Lead and mentor agile team of data and AI/ML engineers towards self-organization and empowerment
Pioneer close collaboration with data/feature analysts and data scientist in virtual team setup based on principles of agile and open-source
Conduct performance reviews and provide professional development opportunities
Present team achievements in internal and external events
Continuous Improvement, Technical Excellence and Accountability:
Ensure proper data model design and feasibility of data products including AI/ML model training/serving, act as a primary contact for technical aspects of data product
Oversee the technical design and implementation compliance with company strategy and policies
Follow, select and apply the latest technologies and best practices in data integration and AI/ML
Delivery Tracking:
Oversee the end-to-end development process from technical perspective
Ensure projects are delivered on time, within scope, in alignment with product owner and users’ expectations, including non-functional requirements (performance, security, stability, observability, continuity)
Manage expectations, risks and resolve issues that arise during development
Collaboration with Product Owner:
Work closely with the Product Owner to align development efforts with product goals
Provide technical input and feasibility assessments for product features and enhancements
Ensure clear communication and coordination between the team and the Product Owner
Automated testing, code quality and documentation:
Implement and maintain quality standards for data products
Ensure regular testing and validation are implemented as vital part of automated CI/CD
Monitor and improve the performance and efficiency of data flows
Data Governance and Compliance:
Ensure data products comply with relevant data privacy and security regulations and policies
Manage data access and usage to protect personal data and other sensitive information
KEY REQUIREMENTS
Bachelor’s degree in computer science, engineering or related field
Previous experience with leading data engineering or AI/ML engineering team
5+ years in a software development environment preferably involving cross-team dependencies.
Good knowledge of data modelling, integration, transformation and MLOps on following (or similar) platforms: KServe, Spark, MLflow, Trino, Cassandra, Airflow, Kafka, CEPH, Jupyter, Gitlab, OpenMetadata
Good level of understanding of typical data consumer use cases including applications, model training, model serving and various visualization tools (PowerBI, Grafana, Evidently).
Ready to put your hands on to solve the problem
Thorough understanding and appreciation for the agile and open-source software values and principles
You’re comfortable around people, your domain expertise coexists with your strong ability to negotiate, influence and provide feedback
You prefer trusting people and empowerment over micro-management
You seek continual improvement - Constantly learning to grow your expertise, yourself, and your team.
Attitude of transparency – Desire and aptitude to bring disclosure and to grow trust between the business and IT
