Remote Principal Machine Learning Engineer

Description:

• Qodea is seeking a Principal Machine Learning Engineer to enhance their data and machine learning capabilities.
• The role focuses on data quality, enrichment, and intelligent linking of products and information.
• Responsibilities include leading the architecture of scalable data pipelines and ML systems, providing technical leadership to a cross-functional team, and driving initiatives to integrate modern Machine Learning and AI technologies.
• The engineer will define strategies to improve the performance and reliability of data and ML services and design frameworks for evaluating data quality and ML model effectiveness.
• The position requires championing engineering best practices and mentoring engineers across teams.
• The role is designed for impact, with expectations for on-site collaboration sessions, customer meetings, and internal workshops.

Requirements:

• Extensive experience in designing and leading large-scale distributed data and/or ML backend systems is required.
• Hands-on experience with ETL pipeline design and optimization for complex data sets is a strong advantage.
• Deep familiarity with technologies such as Apache Beam, Pub/Sub, and Redis is necessary.
• Expertise in backend development with Python and Scala is required; knowledge of Node.js or Golang is a plus.
• Proficiency with both SQL and NoSQL databases, along with experience in data warehousing solutions, is essential.
• Demonstrated experience in building robust APIs (REST, GraphQL) and operating in modern cloud environments (GCP preferred) is required.
• Proven ability to lead and influence engineering direction across teams in a data-centric and ML-driven environment is necessary.
• Strong communication skills are essential for aligning diverse technical stakeholders around a cohesive vision for data quality and knowledge extraction.

Benefits:

• The position offers a competitive base salary and a discretionary company bonus scheme.
• Employees benefit from a health care package and life and health insurance.
• Work-life balance is supported with 28 days of annual leave, floating bank holidays, an extra paid day off on birthdays, and ten paid learning days per year.
• Flexible working hours and the option to work from anywhere for up to 3 weeks per year are provided.
• Employees are eligible for sabbatical leave after 5 years and have access to industry-recognized training and certifications.
• The company promotes employee recognition through Bonusly and offers clear opportunities for career development and length of service awards.
• Regular company events foster a sense of community within the organization.