AI/ML Engineer - Generative Artificial Intelligence

Generative AI

Technology->AI/ML, Python, Gen AI, Databricks Preferred Qualifications: • Experience delivering end-to-end AI/ML solutions in a client-facing or consulting setup, including requirement discovery and stakeholder management. • Exposure to LLM application patterns such as RAG, embeddings, vector search, and tool/function calling. • Familiarity with MLOps practices such as experiment tracking, model versioning, CI/CD for ML, and production monitoring. • Experience with scalable data/ML platforms and workflows (e.g., Databricks-style notebook-to-production practices). • Proven ability to balance rapid prototyping with production readiness, including performance, security, and reliability considerations. Good to have skills: RAG, Embeddings, Vector Databases, Prompt Engineering, MLOps 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 environment. • 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: • 3–5 years 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. • Bachelor’s degree in engineering or computers or AI