GenAI, Machine Learning, model deployment, python, Develop Minimum Viable Products (MVPs)

If you post this job on a job board, please do not use company name or salary. Experience level: Mid-senior Experience required: 8 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Job Description

Define and own the GENAI solution architecture including model selection, fine-tuning strategy, retrieval-augmented generation (RAG), vector stores, and prompt engineering pipelines. Lead the design, development, and delivery of high-quality, scalable software applications supporting Generative AI initiatives. Collaborate with Data Scientists, MLOps, Cloud Architects, Product Managers, and Legal teams for safe, ethical and compliant AI. Should have hands-on experience on ML engineering. Deployment of models from development to production and troubleshoot if any issue arises. Develop Minimum Viable Products (MVPs) based on both clearly defined and evolving requirements, iterating quickly to meet rapidly changing needs. Mentor and guide engineers of all levels, fostering a collaborative and high-performing team environment. Effectively communicate technical concepts and project updates to engineers, leaders, and executives. Capable of and will lead a small squad of engineers, providing technical guidance. Proactively identify and resolve complex technical challenges within the environment.