Lead ML Engineer
I
Intuition MachinesCybersecurity AI/ML
Kraków, Lesser Poland Voivodeship, Poland. Romania. Austria. CroatiaContractLead
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- KubernetesMachine LearningDistributed Systems
Requirements
- 7+ years of experience building and maintaining large-scale production ML systems, with a focus on performance, scalability, and reliability.
- Proven experience as the owner or significant contributor to products used by tens of thousands of customers.
- Expertise in machine learning algorithms, productionizing ML models, and scaling systems to handle large data volumes.
- Strong problem-solving skills with creative approaches to overcoming technical challenges.
- Experience leading technical discussions, driving decisions, and setting technical standards for a team.
- Excellent written and verbal communication skills.
- Familiarity with modern orchestration platforms (Kubernetes, containerization, microservice design) and distributed systems.
- Ability to identify, define, and segment complex research problems.
Responsibilities
- Lead large-scale ML projects and products from inception to production, overseeing the entire lifecycle from design and implementation to deployment and maintenance.
- Make key architectural decisions to ensure solutions are scalable, efficient, and maintainable while balancing business and technical constraints.
- Drive collaboration across ML and engineering teams to ensure product success, influencing technical discussions and decisions at all levels.
- Design and implement state-of-the-art machine learning pipelines and models that impact millions of users and generate real business value.
- Set technical standards and lead the development of scalable, testable, and high-performance applications.
- Provide leadership and mentorship to other ML engineers, fostering the growth of a strong Machine Learning Engineering organization.
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