AI/ML Architect

Description:

We're looking for an AI/ML Engineer with strong machine learning and software engineering experience to develop and deploy AI-powered capabilities in enterprise applications. The role involves working across the full AI development lifecycle, from experimentation and model evaluation through to production deployment.

What you'll do:

Design, develop, and deploy AI-powered features for enterprise applications.

Build and enhance AI/LLM workflows, including agentic workflows.

Develop Retrieval-Augmented Generation (RAG) pipelines and improve the accuracy, grounding, and reliability of AI-generated responses.

Design and implement evaluation frameworks, benchmarks, and automated testing to measure model quality and support continuous improvement.

Develop, integrate, and deploy machine learning models and large language model solutions in production environments.

Build and maintain back-end services using Python and contribute to front-end development using React where required.

Develop scalable APIs and services that integrate AI capabilities into enterprise applications.

Optimize AI systems for performance, latency, scalability, reliability, and cost efficiency.

Apply responsible AI principles, ensuring solutions are explainable, traceable, and aligned with enterprise governance and data standards.

Participate in architecture discussions, code reviews, and technical mentoring to promote engineering best practices.

Evaluate emerging AI technologies and recommend improvements that provide measurable value.

What we're looking for:

Extensive experience delivering enterprise software solutions, with hands-on experience developing AI or machine learning applications.

Strong understanding of machine learning concepts, model development, evaluation, and deployment.

Experience working with Large Language Models (LLMs), prompt engineering and Retrieval-Augmented Generation (RAG) based applications

Strong Python development experience, including expertise with APIs

Experience building production-grade APIs and distributed systems.

Experience with React or other modern front-end frameworks is an advantage.

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, and deploying AI workloads in production.

Knowledge of MLOps practices, CI/CD pipelines, model monitoring, evaluation, and observability.

Experience working with SQL and large-scale data processing.

Strong analytical and problem-solving skills with the ability to translate business requirements into robust AI solutions.

Excellent communication and collaboration skills, with experience working in Agile, cross-functional teams.