HamburgerMenu
hirist

AI Director - NLP/Computer Vision

Shework
Anywhere in India/Multiple Locations
15 - 17 Years

Posted on: 13/08/2025

Job Description

Key Responsibilities :


- Strategic Leadership : Define and drive a long-term AI engineering strategy and roadmap aligned with business goals and innovation objectives.

- Team Management : Lead, mentor, and expand a high-performing AI engineering team, fostering a culture of excellence, collaboration, and continuous innovation.

- Cross-functional Collaboration : Work closely with product, data science, platform, infrastructure, and business teams to identify impactful AI use cases and ensure seamless integration of AI solutions.

- Solution Architecture & Development : Oversee the architecture, design, development, and deployment of scalable AI/ML systems, including deep learning and generative AI models.

- Lifecycle Ownership : Own the complete AI/ML lifecycle from data acquisition and model development to validation, deployment, monitoring, and retraining.

- Innovation Focus : Drive the adoption of emerging technologies, such as Generative AI, to enhance product capabilities and user experience.

- Quality & Compliance : Ensure all AI systems meet performance, reliability, security, and compliance standards.


Required Skills & Qualifications :


- 15+ years of total experience with at least 5+ years in AI/ML engineering leadership roles.

- Strong hands-on understanding of machine learning, deep learning, NLP, computer vision, and Generative AI.

- Proven experience in designing and deploying AI systems at scale in production environments.

- Proficient in AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face).

- Experience with cloud platforms (AWS, Azure, or GCP) and ML Ops practices.

- Familiarity with end-to-end data pipelines, model monitoring, and performance optimization.

- Excellent leadership, stakeholder management, and communication skills.


Preferred Qualifications :


- Masters or PhD in Computer Science, Artificial Intelligence, or a related field.

- Experience in AI strategy or innovation roles within fast-paced product or platform organizations.

- Exposure to ethical AI, model fairness, and explainability frameworks.


info-icon

Did you find something suspicious?