Your role will directly contribute to shaping and scaling AI-driven solutions that power innovation, optimize content creation, distribution, and user engagement, all while driving business value and operational efficiency.

You will work alongside a talented team of data scientists, engineers, and business leaders to establish a robust AI/ML strategy, build sustainable architectures, and ensure that technology aligns with the company's long-term vision.

This position offers you the opportunity to work on impactful projects in a creative and dynamic environment where AI and ML are transforming the way content is produced and consumed globally.

If you are an innovator with a passion for AI technology and its real-world applications, this is your chance to make a lasting impact.

AI/ML Architecture & Strategy :

- Define and evolve the long-term AI/ML architecture roadmap, ensuring scalability, maintainability, and integration with existing systems.

- Conduct thorough technology evaluations and vendor assessments to identify and select the most suitable AI/ML tools, platforms, and technologies.

- Develop and implement best practices, guidelines, and standards for AI/ML development and deployment across the organization.

- Collaborate with business stakeholders to understand their needs and translate them into clear and actionable AI/ML strategies.

- Drive innovation by exploring and evaluating emerging AI/ML technologies and their potential applications within the media and entertainment domain.

AI/ML Platform & Infrastructure :

- Design, build, and maintain a robust and scalable AI/ML platform that supports the entire lifecycle of AI/ML model development, from data ingestion and feature engineering to model training, deployment, and monitoring.

- Ensure the security, reliability, and performance of the AI/ML infrastructure, including data privacy, compliance, and disaster recovery.

- Optimize resource utilization and cost-effectiveness of the AI/ML platform through efficient resource allocation and infrastructure management.

- Collaborate with IT and cloud operations teams to ensure seamless integration and smooth operation of the AI/ML platform.

- Monitor and analyze platform performance, identify bottlenecks, and implement necessary improvements to enhance efficiency and scalability.

AI/ML Model Development & Deployment :

- Oversee the development and deployment of high-quality and impactful AI/ML models across various domains, such as content recommendation, personalization, content creation, and fraud detection.

- Ensure the quality, accuracy, and fairness of AI/ML models through rigorous testing, validation, and monitoring.

-Develop and implement MLOps best practices, including CI/CD pipelines, automated testing, and model monitoring, to streamline the model development and deployment process.

- Collaborate with data scientists and engineers to ensure efficient and effective model training, deployment, and maintenance.

- Drive the adoption of AI/ML models across the organization through clear communication, training, and support.

Team Leadership & Management :

- Lead and mentor a high-performing team of AI/ML engineers and architects.

- Foster a collaborative and innovative team culture that encourages experimentation, learning, and growth.

- Recruit, hire, and onboard top talent in the field of AI/ML.

- Provide guidance and support to team members on technical challenges and career development.

- Track team performance, identify areas for improvement, and implement necessary changes to enhance team effectiveness.

Governance and Compliance :

- Ensure all AI/ML initiatives adhere to regulatory requirements, ethical guidelines, and company policies.

- Define processes for monitoring, auditing, and improving AI models in production.

- Advocate for responsible AI practices within the organization.

Qualifications & Experiences :

Academic Qualifications :

- Masters or Ph.D. degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field from a recognized university.

- Specialized certifications or training in AI, Machine Learning, Deep Learning, or similar areas are a plus.

Professional Experience :

- 12+ years of experience in AI/ML technologies, with at least 8+ years in a leadership role overseeing large-scale AI/ML projects and teams.

- Proven experience in leading AI/ML architecture design, deployment, and optimization in enterprise-scale environments, preferably within a Media & Entertainment or similar high-tech industry.

- Strong track record of implementing cloud-based AI solutions (AWS, Azure, GCP) and experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.).

-Extensive experience in building, scaling, and maintaining AI platforms, machine learning models, and data architectures.

- Expertise in integrating AI/ML technologies with business processes, including content management, user analytics, and personalized recommendations.

Technical Skills :

- Expertise in AI/ML model development, architecture design, and advanced analytics.

- Deep understanding of cloud-native AI technologies, big data systems, and distributed computing.

- Experience with AI model deployment pipelines, continuous integration, and delivery (CI/CD).

- Proficiency in multiple programming languages (Python, Java, C++, etc.) and machine learning libraries.

- In-depth knowledge of data engineering, data pipelines, and data lake architecture.

Other Skills :

- Exceptional leadership and people management skills, with experience managing cross-functional teams.

- Strong communication skills, with the ability to convey complex technical concepts to business leaders and stakeholders.

- Deep understanding of AI ethics, privacy, and governance principles.

- Strong problem-solving abilities, with a passion for innovation and creativity.

Proven ability to collaborate effectively across departments and lead change in a complex, fast-paced environment

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