01Overview
Solution Delivery & Consulting
- Partner with client stakeholders to understand business goals, translate them into AI/ML and Generative AI use cases, and define success metrics.
- Contribute to solution design, effort estimation, and delivery planning for AI initiatives in a consulting workplace.
- Communicate findings, trade-offs, and recommendations through clear documentation and presentations.
Generative AI Development
- Build Python-based prototypes and production-ready components for Generative AI workflows (prompting, evaluation, and iteration).
- Develop and refine prompts, templates, and guardrails to improve response quality, safety, and consistency.
- Implement evaluation approaches to measure output quality (accuracy, relevance, hallucination checks) and drive continuous improvement.
AI/ML Engineering
- Develop and maintain ML pipelines in Python for data preparation, training, inference, and monitoring.
- Perform model experimentation, feature engineering, and performance tuning aligned to business requirements.
- Collaborate with cross-functional teams to integrate AI services into applications and workflows.
Minimum Qualifications:
- 3-5years of professional experience delivering Python-based solutions, including AI/ML or Generative AI components.
- Hands-on experience with Generative AI concepts and implementation (prompt engineering, evaluation, and iterative improvement).
- Working knowledge of AI/ML fundamentals (supervised/unsupervised learning, model validation, metrics).
- Strong Python programming skills with clean coding practices, testing, and debugging.
- Bachelors degree in engineering or computers or AI .
