Artificial Intelligence Solutions Leader
3 weeks ago
About Apexon:
As a digital-first technology services firm, Apexon accelerates business transformation and delivers human-centric digital experiences. Our global presence spans 15 offices across four continents, with a reputation built on comprehensive engineering services and a commitment to continuous improvement.
We're backed by Goldman Sachs Asset Management and Everstone Capital, enabling us to meet customers wherever they are in the digital lifecycle and help them outperform their competition through speed and innovation.
Role Description:
Job SummaryThe Practice Lead AI & ML Engineer is responsible for leading the design, development, and deployment of production-grade Artificial Intelligence (AI) and Machine Learning (ML) solutions. This role requires working closely with data science teams and business stakeholders to integrate AI/ML models into scalable, resilient, and secure business processes.
Essential Job Functions- Ai Solution Development
- Lead the design and implementation of productionized models that meet scalability, security, and resilience requirements.
- Evaluate data science methodologies and ensure their alignment with business processes.
- Optimize AI/ML solutions for performance, reliability, and cost-efficiency.
- Stay up to date with emerging technologies, tools, and trends in AI and ML fields.
- Research innovative methods to integrate AI solutions into business processes.
- Drive the adoption of new tools, platforms, and engineering practices within the team.
- Monitor the performance of deployed AI/ML models and make recommendations for optimization.
- Troubleshoot production issues and proactively address risks in model configurations.
- Assist platform administrators in maintaining the health of the AI/ML ecosystem.
- Develop and maintain CI/CD pipelines to support Continuous Integration and Deployment processes for AI/ML models.
- Automated build, deployment, and validation procedures to streamline AI solution delivery.
- Collaborate with Infrastructure, Release Management, and DevOps teams to ensure smooth production deployments.
- Lead and mentor a team of AI/ML Engineers, promoting best practices in AI/ML Ops.
- Collaborate with cross-functional teams, including Data Science, Product, and DevOps, to ensure successful solution delivery.
- Provide regular updates to stakeholders on deployment status, risks, and outcomes.
Estimated Salary: £90,000 - £120,000 per annum, depending on experience and qualifications.
Preferred Qualifications
- Bachelor's degree in Statistics, Mathematics, Engineering, Data Science, or Computer Science.
- 10+ years of experience in AI Ops, ML Engineering, Data Science, DevOps, Data Engineering, or related fields.
- Experience working in multidisciplinary teams on large-scale AI/ML projects.
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