Fervour Infosystem
2 weeks ago
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.
