Gen AI Developer

GEN AI Developer with 3 years of Experience.

• Build and support high-impact data science and machine learning POCs using Python and modern ML libraries.
• Develop and iterate on AI and Generative AI solutions, including experimentation, evaluation, and optimization.
• Collaborate with senior engineers and business stakeholders to translate problem statements into ML/AI approaches.
• Perform data exploration (EDA), feature engineering, and model performance analysis.
• Assist in creating and maintaining end-to-end ML pipelines including training, validation, and basic deployment.
• Support model deployment and monitoring for pilot or pre-production environments.
• Document solution design, experiments, and outcomes clearly and consistently.

• AI ML & Generative AI Knowledge Expectations
• Strong foundational understanding of machine learning concepts, including supervised and unsupervised learning, feature engineering, model training, validation, and evaluation.
• Good knowledge of commonly used ML algorithms (linear/logistic regression, decision trees, random forests, gradient boosting, clustering) and appropriate use cases.
• Understanding of the end-to-end ML lifecycle, from data preprocessing and experimentation to deployment basics and monitoring.
• Solid conceptual and hands‑on knowledge of Generative AI and Large Language Models (LLMs), including tokenization, embeddings, prompt engineering, and inference patterns.
• Familiarity with LLM‑based solution patterns such as summarization, question answering, text classification, chatbots, and retrieval‑augmented generation (RAG).
• Awareness of model fine‑tuning approaches (SFT, parameter‑efficient tuning) and when to prefer fine‑tuning versus prompting.
• Understanding of responsible AI principles, including bias, explainability, data privacy, and model limitations.
• Ability to learn, experiment, and apply new AI frameworks, libraries, and cloud AI services with minimal supervision.