Remote Principal Engineer - Data & ML

Description:

• Beyond is a technology consultancy that helps organizations thrive in a rapidly changing world by building, modernizing, scaling, and operationalizing technology.
• The company is looking for a Principal Engineer to shape the next generation of data and machine learning capabilities, focusing on data quality, enrichment, and intelligent linking of products and information.
• This role offers the opportunity to define architectural strategy, lead transformative initiatives, and work at scale on platforms infused with machine learning and semantic intelligence to unlock deep insights from complex data.
• As a Principal Engineer at Beyond, you will lead the architecture and evolution of scalable, high-performance data pipelines and ML systems, focusing on data ingestion, transformation, quality checks, and enrichment.
• You will drive cross-functional initiatives to integrate modern Machine Learning and AI technologies, including semantic understanding, natural language processing, and potentially large language models, to automate data quality and create intelligent data enrichment solutions.
• You will define strategies to enhance the performance, reliability, and observability of data and ML services, ensuring robust, high-quality data outputs.
• You will design and implement frameworks for evaluating data quality and the effectiveness of ML models through both offline metrics and online validation.
• You will champion engineering best practices and mentor engineers across teams, raising the bar for code quality, data governance, and ML system design.
• You will shape long-term technical direction by staying ahead of trends in AI, ML, data engineering, and distributed systems and bringing these innovations into production within the Knowledge domain.

Requirements:

• A degree in Computer Science, Engineering, Machine Learning, or a related technical field is required.
• You must have 8+ years of experience designing and leading the development of large-scale distributed data and/or ML backend systems.
• 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, Redis, and other large-scale data processing frameworks 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, and experience with data warehousing solutions is essential.
• Demonstrated experience building robust APIs (REST, GraphQL) and operating in modern cloud environments, preferably GCP, using Kubernetes, Docker, CI/CD, and observability tools is required.
• You must have a proven ability to lead and influence engineering direction across teams and functions, particularly in a data-centric and ML-driven environment.
• Strong communication skills and the ability to align diverse technical stakeholders around a cohesive vision for data quality and knowledge extraction are essential.

Benefits:

• Beyond promotes a culture of inclusivity and openness for all employees, actively encouraging diversity in all its forms across its Studios.
• The company is committed to welcoming everyone, regardless of gender identity, orientation, or expression, and strives to create a space of belonging.
• Beyond believes that culture plays a large role in what they offer as an organization, and they have been named among the Sunday Times Best 100 Companies.
• The organization values the creativity and innovation of its people, recognizing that they are essential to its success.