Director – Machine Learning

6 days ago

Bengaluru Karnataka India, Karnataka Zyoin Group Full time

Director – Machine Learning / AI

Experience: 12+ Years (4+ Years in Leadership)


Role Overview

We 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 Responsibilities

Strategy & Leadership

  • Define 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 Excellence

  • Design, 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 Collaboration

  • Partner 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 Excellence

  • Ensure 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 & Qualifications

  • Bachelor’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 Apart

  • Hands-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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