Who We Are:
Beyond is a leading online furniture and home furnishings retailer, headquartered in the USA, with an innovative Software Development base, in Sligo that build and support the e-commerce platforms for our global retail sites.
What We Do:
We innovate to deliver simple, fast, secure, and delightful experiences for our customers, partners, and teams. Our software engineering teams thrive in our positive, open, excellence driven and innovative culture. Our team members play a critical role in keeping that magic.
We have an exciting opportunity for an ML Engineer Manager to lead our team of ML Engineers. In this role, you will drive the development using cutting-edge technologies to build out our ML engineering platform. You will play a crucial role in shaping the engineering strategy for our Machine Learning initiatives.
What you will do:
1. Design Machine Learning deployment pipelines to facilitate ML models deployment using in house and cloud technologies and meeting the required SLAs. The models include but not limited to classifiers, regressors, decision trees, various types of neural networks, and LLMs.
2. Communicate between the business side and ML Engineers/Scientists to understand business needs and lead the team in effectively implementing those requirements
3. Collaborate closely with the stakeholders to ensure that provisioned infrastructure is compliant with the organizational security and networking policies
4. Stay ahead of future ML Engineering technologies through innovative ideas, ensuring our solutions meet the evolving needs of ML
Skills required :
5. 8 plus years of Software Development, ML Engineering, or MLOps.
6. Strong technical skills in programming, particularly in writing production-quality code (e.g.,, Java, Python etc.)
7. Experience in writing and reviewing technical documents
8. Knowledge of cloud technologies
9. Familiarity with programmatic data access (e.g., SQL, Hive, etc.)
10. Strong problem-solving abilities, excellent communication skills, and a proven track record of effective teamwork and adaptability to evolving technologies
11. Experience hiring and leading diverse teams
Nice to have:
12. Familiarity with big data and associated technologies (e.g., Hadoop/Spark)
13. Knowledge in data science, statistics, machine learning, or related fields
14. Experience with MLOps
What you will learn
15. Developing a multi-tenant e-commerce platform on the cloud
16. Utilising the latest ML technologies and approaches likeVertexAI, feature stores
17. Constructing and managing data pipelines
Education:
18. Master’s degree in Computer Science, Machine Learning, or a related field or equivalent experience.
What We Value:
19. Life/Work Balance
20. Pride in Production
21. Trust
22. Challenge yourself, inspire others
23. Success through diversity
Equal Employment Opportunity:
It is our commitment to ensure that all employment decisions are made without regard to gender, civil status, family status, sexual orientation, age, disability, race, religion and membership of the Traveller community, (protected characteristics under the Employment Equality Acts 1998-2011).