Requirements

AI And Machine Learning Solutions Architect

Location: Onsite Duration: 6+ Months
Join a team delivering scalable, production-grade Artificial Intelligence (AI) and Machine Learning (ML) solutions for communications, media, and technology initiatives. This role will lead the design, development, deployment, and optimization of Generative AI applications, Retrieval-Augmented Generation (RAG) platforms, and enterprise ML systems while ensuring security, performance, and reproducibility. The position partners closely with product stakeholders to translate business requirements into production-ready AI solutions.
Requirements

5+ years of LLM fine-tuning using LoRA or QLoRA
5+ years of Retrieval-Augmented Generation (RAG) architecture development
5+ years of MLflow for MLOps and experiment lifecycle management
Key Responsibilities

Design secure, scalable AI and ML architectures aligned to business objectives.
Build ML pipelines for model training, evaluation, deployment, monitoring, and continuous improvement.
Fine-tune large language models using LoRA and QLoRA techniques for production use cases.
Develop embedding-based search and RAG solutions utilizing vector databases and unstructured data at scale.
Implement model serving and inference services using FastAPI and containerized deployment patterns.
Deliver AI-powered user experiences using Streamlit and data visualization frameworks while collaborating with product owners through full delivery ownership.