dyad - AI Head

Description : We are seeking a Head of AI to lead our artificial intelligence strategy and execution. You will be responsible for shaping the roadmap, managing the AI/ML team, and embedding AI into our product suite to drive innovation, personalization, and automation. This is a hands-on leadership role that blends technical depth with product vision and team mentoring.

We are seeking a Head of AI to lead our artificial intelligence strategy and execution. You will be responsible for shaping the roadmap, managing the AI/ML team, and embedding AI into our product suite to drive innovation, personalization, and automation. This is a hands-on leadership role that blends technical depth with product vision and team mentoring.

Strategy & Leadership :

- Define and own the AI strategy aligned with business goals.

- Evaluate emerging technologies (e.g., GenAI, LLMs, NLP, Computer Vision) and identify use cases for value creation.

- Promote AI adoption across product lines and departments.

- Partner with product, engineering, and design teams to translate business needs into AI capabilities.

Technical Ownership :

- Lead end-to-end development and deployment of ML models including supervised, unsupervised, deep learning, NLP, and LLM-based models.

- Architect scalable ML pipelines, model serving infrastructure, and MLOps practices.

- Oversee data pipelines, feature engineering, retraining strategies, and model monitoring.

- Implement frameworks for experimentation such as A/B testing and hypothesis validation.

Team Management :

- Build and mentor a high-performing team of data scientists, ML engineers, and research engineers.

- Define hiring needs, participate in recruitment, and develop internal capability.

- Promote a culture of continuous learning, responsible AI, and cross-functional collaboration.

Governance & Risk :

- Define responsible AI frameworks, including bias detection, explainability, and fairness.

- Ensure data security, compliance (e.g., GDPR), and auditability of AI systems.

- Manage budget, vendors, and tools related to AI initiatives.

Required Skills & Qualifications :

Education :

Bachelor's or Master's in Computer Science, AI, Data Science, Mathematics, or related field.

Experience :

- 10+ years in AI/ML roles with a strong software engineering background.

- 4+ years in team leadership, with proven delivery of AI-driven product features.

- Experience with GenAI, NLP (e.g., BERT, GPT), deep learning (CNNs, RNNs), recommender systems, etc.

Technical Stack :

- Python, TensorFlow/PyTorch, Hugging Face, LangChain, Scikit-learn

- SQL/NoSQL, Airflow, Spark, Kubernetes, Docker

- Cloud : AWS, GCP, or Azure ML stack