Director – Machine Learning

2 days ago


bangalore, India Zyoin Group Full time

Director – Machine Learning / AIExperience: 12+ Years (4+ Years in Leadership)Role OverviewWe are seeking a visionary Director of Machine Learning to lead enterprise-scale AI and ML strategy, execution, and innovation. This role will drive the development of scalable, production-grade machine learning systems while building and mentoring high-performing teams across the organization.Key ResponsibilitiesStrategy & LeadershipDefine and own the ML/AI vision, strategy, and long-term roadmap aligned with business objectives.Build and grow a strong pipeline of ML and AI leaders across teams.Lead, mentor, and develop high-performing machine learning and data science teams.Foster a continuous learning culture and stay ahead of industry trends and advancements.Technical & Delivery ExcellenceDesign, build, and deploy scalable, distributed machine learning systems across the full ML lifecycle.Develop advanced AI capabilities including Generative AI, Large Language Models (LLMs), NLP, Computer Vision, Voice Models, and Graph Analytics.Ensure technical solutions adhere to established standards for architecture, security, governance, and compliance.Oversee model lifecycle management including training, experimentation, serving, validation, and monitoring.Cross-Functional CollaborationPartner with product, engineering, and business teams to identify opportunities for data-driven innovation and business growth.Collaborate with research organizations and external partners to explore emerging technologies.Translate complex technical concepts into actionable business outcomes.Operational ExcellenceEnsure high availability and reliability of ML systems with strong focus on observability, monitoring, logging, and alerting.Implement and improve CI/CD pipelines and MLOps practices.Continuously enhance processes to improve delivery speed, scalability, and system performance.Skills & QualificationsBachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.12+ years of experience in AI/ML with 4+ years in a leadership role.Proven experience building end-to-end ML systems in production environments.Strong proficiency in Python, Machine Learning, Generative AI, NLP, Deep Learning, and Graph Analytics.Experience working with cloud platforms (AWS, Azure, GCP) is an added advantage.Excellent problem-solving, communication, and stakeholder management skills.What Sets You ApartHands-on expertise operating ML solutions at scale across the entire ML workflow.Deep understanding of real-world ML systems including data pipelines, feature engineering, experimentation, and model deployment.Strong bias for engineering excellence, reliability, and service quality.Ability to think strategically while remaining hands-on with execution.



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