Description :
- Lead the design, development, and deployment of generative AI models, including transformers and Large Language Models (LLMs).
- Architect end-to-end AI systems, from data collection and preprocessing to model development, training, and production deployment.
- Ensure seamless integration of AI systems with existing platforms to enhance functionality and business outcomes.
- Collaborate with research teams to evaluate and adopt cutting-edge AI technologies and methodologies.
- Drive AI strategy and innovation, recommending tools, techniques, and approaches to continuously improve performance and capabilities.
- Mentor and guide engineering and data science teams in AI best practices, MLOps, and system architecture.
- Ensure scalable, maintainable, and robust AI / ML architectures deployed on cloud platforms (AWS, Azure, GCP).
- Establish ML pipelines, versioning, and CI / CD practices for AI / ML workflows.
Required Qualifications :
Proven experience in AI / ML model development, particularly generative models and transformers.Hands-on experience with MLOps, AI pipelines, and cloud deployment of AI systems.Proficiency in Python and AI frameworks such as PyTorch, TensorFlow, or similar.Strong understanding of deep learning, reinforcement learning, NLP, and unsupervised learning.Experience with data engineering, preprocessing, and model optimization for generative AI applications.Knowledge of model versioning, monitoring, and CI / CD for AI / ML systems.Strong problem-solving skills, strategic thinking, and ability to communicate complex AI concepts to stakeholders.Preferred Qualifications :
Experience in enterprise-scale AI deployments.Familiarity with AI safety, governance, and ethical frameworks.Previous experience in AI-driven product development or AI platform architecture.(ref : hirist.tech)