12 дней назад
Manager, AI Engineering
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, AI Engineering (AI/GenAI): Leading customer-facing AI and machine learning engineering activities, from translating business use cases into technical solutions to deploying end-to-end ML workflows with an accent on solution architecture, technical advisory, and customer delivery. Focus on designing cloud-native AI systems, leading proofs of value, solving complex GenAI/ML challenges, and mentoring machine learning engineering teams.
Location: Colombo, Sri Lanka; hybrid. Travel of up to 50% may be required.
Company
is an AI cloud platform company developing open-source and enterprise solutions that combine generative and predictive AI.
What you will do
- Advise prospects, customers, and partners on data science, machine learning, and GenAI solutions.
- Own account-related technical work, including planning, project management, and solution design.
- Translate business requirements into machine learning workflows and systems from data ingestion through model deployment.
- Develop and demonstrate AI, GenAI, and machine learning solutions, applications, and products.
- Lead proofs of value and proofs of concept while supporting successful customer delivery.
- Lead, mentor, and coach machine learning and AI engineers to support their professional growth.
Requirements
- At least 5 years of relevant sales engineering experience in GenAI/ML in a customer-facing pre-sales role.
- Bachelor’s, master’s, or higher degree in computer science, mathematics, physics, engineering, statistics, or another quantitative discipline, or equivalent experience.
- Strong Python knowledge and familiarity with data munging and machine learning libraries.
- In-depth understanding of machine learning algorithms, GenAI/ML applications, and end-to-end ML pipeline deployment.
- Experience with AWS, Azure, or GCP cloud architectures and working knowledge of Kubernetes.
- Excellent communication skills, self-directed working style, and availability for travel of up to 50%.
Nice to have
- Consultative selling experience.
Culture & Benefits
- Remote-friendly and flexible working environment.
- Career growth opportunities.
- Inclusive workplace focused on responsible AI and AI for Good.
- Market-leading total rewards and collaboration with a global AI community.
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