AI Specialist

2 days ago

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Manila Recruitment

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Manila Recruitment is a leading recruitment agency based in the Philippines, specializing in innovative talent sourcing and headhunting services. The agency provides a wide range of recruitment solutions including executive search, IT recruitment, offshore staffing solutions, remote staffing, and more. With a focus on understanding clients' strategic business objectives, Manila Recruitment offers tailored recruitment strategies for multinationals, corporations, and start-ups entering the Filipino market. The firm prides itself on a process-driven approach, offering comprehensive candidate guarantees and a database of over 250,000 candidates. Certified headhunters at Manila Recruitment are dedicated to passive candidate sourcing, ensuring quality hires that align with company culture and requirements.

Recruitment • Staffing • Outsourcing • Executive Search • Headhunting

11 - 50 employees

Founded 2010

🎯 Recruitment

🏢 Enterprise

📋 Description

•Lead the architecture and implementation of MLOps/LLMOps systems within OpenShift AI, establishing best practices for scalability, reliability, and maintainability while actively contributing to relevant open-source communities •Design and develop robust, production-grade features focused on AI trustworthiness, including model monitoring •Drive technical decision-making around system architecture, technology selection, and implementation strategies for key MLOps components, with a focus on open-source technologies •Define and implement technical standards for model deployment, monitoring, and validation pipelines, while mentoring team members on MLOps best practices and engineering excellence •Collaborate with product management to translate customer requirements into technical specifications, architect solutions that address scalability and performance challenges, and provide technical leadership in customer-facing discussions •Lead code reviews, architectural reviews, and technical documentation efforts to ensure high code quality and maintainable systems across distributed engineering teams •Identify and resolve complex technical challenges in production environments, particularly around model serving, scaling, and reliability in enterprise Kubernetes deployments •Partner with cross-functional teams to establish technical roadmaps, evaluate build-vs-buy decisions, and ensure alignment between engineering capabilities and product vision •Provide technical mentorship to team members, including code review feedback, architecture guidance, and career development support while fostering a culture of engineering excellence

🎯 Requirements

•5+ years of software engineering experience, with at least 4 years focusing on ML/AI systems in production environments •Strong expertise in Python, with demonstrated experience building and deploying production ML systems •Deep understanding of Kubernetes and container orchestration, particularly in ML workload contexts •Extensive experience with MLOps tools and frameworks (e.g., KServe, Kubeflow, MLflow, or similar) •Track record of technical leadership in open source projects, including significant contributions and community engagement •Proven experience architecting and implementing large-scale distributed systems •Strong background in software engineering best practices, including CI/CD, testing, and monitoring •Experience mentoring engineers and driving technical decisions in a team environment •Experience with Red Hat OpenShift or similar enterprise Kubernetes platforms •Contributions to ML/AI open source projects, particularly in the MLOps/GitOps space •Background in implementing ML model monitoring •Experience with LLM operations and deployment at scale •Public speaking experience at technical conferences •Advanced degree in Computer Science, Machine Learning, or related field •Experience working with distributed engineering teams across multiple time zones