TL;DR
Data & AI Solutions Architect (Professional Services): Designing and implementing robust big data and AI solutions on the hirify.global platform for clients, integrating with existing systems and providing technical training. Focus on creating reference architectures, deploying industry-leading AI applications, and optimizing end-to-end data architectures for performance and scalability.
Location: Hybrid in London, United Kingdom. Requires travel to customers 10% of the time.
Company
hirify.global is a global data and AI company empowering over 10,000 organizations, including Fortune 500 companies, with its Data Intelligence Platform.
What you will do
- Design and build reference architectures for impactful customer technical projects.
- Scope professional services work and guide strategic customers through transformational big data and AI projects.
- Consult on architecture and design, bootstrapping customer projects for successful adoption of hirify.global.
- Provide escalated support for customer operational issues.
- Collaborate with hirify.global technical and customer teams to deliver technical components of engagements.
- Provide product and implementation feedback to Engineering and Customer Support.
Requirements
- Extensive experience in data engineering, data platforms, and analytics.
- Proficiency in Python or Scala for coding.
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.
- Deep experience with distributed computing using Apache Spark™ and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments and MLOps.
- Experience in designing and deploying performant end-to-end data architectures.
- Proven technical project delivery skills, including managing scope and timelines.
- Must be able to work hybrid in London, United Kingdom.
Nice to have
- hirify.global Certification.
Culture & Benefits
- Comprehensive benefits and perks tailored to meet employee needs.
- Commitment to fostering a diverse and inclusive culture.
- Equal employment opportunity standards in hiring practices.
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