Principal Machine Learning Engineer
# Principal Machine Learning Engineer **Pointwest Technologies** · Quezon City · `On-site` 🕒 **Статус:** *Опубликовано: 5 дней назад* · *Источник: Indeed* --- ### About the Role 1. Role Overview & Business Context Pointwest is seeking an elite Principal Machine Learning Consultant / Solutions Architect to serve as our premier technical authority and trusted advisor for strategic AI/ML initiatives. This individual bridges the gap between enterprise business objectives and complex AI capabilities. This role is crucial to ensure seamless service delivery and technical governance. The role focuses on high-value advisory, architecture design, solution quality, and talent mentorship, operating independent of direct line-management or P&L duties. 2. Essential Key Responsibilities (Core Requirements)Client Advisory & Technical Discovery - Trusted C-Suite Advisor: Partner with client executives, product owners, and technical directors to define their AI/ML strategy, architectural roadmap, and technology adoption paths. - Technical Discovery & Assessment: Conduct deep-dive assessments of client data ecosystems, cloud infrastructure readiness, security constraints, and operational workflows to design feasible ML solution blueprints. Solution Architecture & Engineering Governance - End-to-End Solution Architecture: Design scalable, production-grade enterprise AI/ML solutions, incorporating robust MLOps practices (automated deployment, monitoring, drift detection, and version control). - Delivery Oversight & Quality Assurance: Provide technical governance across active ML projects. Review solution architectures, data pipelines, and code bases to ensure high quality, performance, and adherence to industry standards. - Complex Technical Problem Solving: Serve as the senior escalation point to unblock engineering teams on intricate technical, algorithmic, or architectural challenges. - Reusable and IP Development: Identify, develop and drive the adoption and continuous evolution of reusable architectural components, patterns, and assets across solutions. Capability Building & Talent Mentorship - Team Elevation & Mentorship: Train and mentor AI/ML Engineers and Data Scientists across the practice to elevate internal technical capabilities and bridge capacity constraints. - Competency Roadmaps: Develop learning paths and competency frameworks aligned with emerging market demands (e.g., Generative AI, RAG architectures, and MLOps). - Recruitment Leadership: Lead technical evaluation and interviewing for candidate pipelines to expand Pointwest’s AI/ML talent pool. 3. Preferred / Nice-to-Have Components - Thought Leadership & External Presence: Authoring technical whitepapers or representing Pointwest as a speaker or panelist at tech conferences. - Vendor Program Management & Co-Selling: Active collaboration with cloud vendor partner teams (AWS, Azure, GCP) on joint partner programs. . - Advanced GenAI / Agentic Stack Implementation: Hands-on development using specialized LLM frameworks (LangChain, LlamaIndex, AutoGen) and Agentic workflows. 4. Qualifications & Technical CompetenciesRequired Qualifications - Experience: Minimum of 8+ years of experience developing and deploying enterprise analytics, AI, and machine learning solutions. - Technical Leadership: Minimum of 3+ years in a technical leadership or architectural role, guiding ML engineering teams or leading solution design. - Core ML Expertise: Proficiency in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Time Series Forecasting. - MLOps & Cloud Infrastructure: Solid foundations in MLOps pipelines (model deployment, monitoring, drift detection, versioning) and major cloud platforms (AWS, Azure, or GCP). - Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related quantitative field. Preferred Qualifications - Certifications: AWS Certified Machine Learning - Specialty (or equivalent Azure / GCP AI specialty certification). Pay: From Php60,000.00 per month Benefits: - Additional leave - Health insurance - Life insurance Application Question(s): - How much is your asking salary? - Are you comfortable working on a hybrid set-up? Experience: - Machine learning: 4 years (Preferred) - Artificial Intelligence: 4 years (Preferred) - Solutions architecture: 3 years (Preferred) Work Location: Hybrid remote in Quezon City
Наблюдалась 2026-10-07, впервые 2026-10-01, источник — Indeed.