Ambition Hiring! Full Time AI-ML Engineer in - Ricebowl

Overview

Our client is seeking an AI/ML Engineer to build and deploy AI solutions that enhance customer-facing digital products. Working closely with product and engineering teams, you will translate business needs into practical solutions and own projects from initial development through production deployment and continuous improvement.

Responsibilities

• Design, develop and deploy ML and LLM solutions across recommendation systems, ranking, content moderation, model fine-tuning and NLP or agent-based workflow automation.
• Translate business requirements into clearly scoped projects with measurable outcomes.
• Own the full development lifecycle, including experimentation, testing, deployment and ongoing optimisation.
• Develop evaluation datasets, conduct offline evaluations and A/B testing, and monitor production performance.
• Contribute to technical direction and solution design, balancing model quality, latency, cost and delivery timelines.
• Collaborate with cross-functional teams, write technical documentation and participate in code and design reviews.
• Use AI-assisted tools to support coding, testing, analysis and documentation, applying appropriate checks to their outputs.
• Share technical knowledge, mentor colleagues and contribute to strong engineering practices.

Requirements

• Bachelor’s degree or above in Computer Science, Statistics, Mathematics, Engineering or another quantitative discipline.
• At least 3 years of hands-on ML engineering experience, with a track record of deploying models into production.
• Strong Python programming skills and experience with PyTorch or comparable frameworks.
• Practical experience in at least one of the following: recommendation systems, ranking, content moderation, LLM fine-tuning or NLP/agent-based workflow automation.
• Applied LLM experience, such as prompt engineering, retrieval-augmented generation (RAG) or fine-tuning. Solid software engineering practices, including testing, version control and code review.
• Experience with model evaluation, deployment, monitoring and experimentation.
• Ability to translate business problems into practical technical solutions and communicate effectively with stakeholders.
• Comfortable using AI coding assistants and agents, with sound judgement when validating their outputs.
• Experience with AWS, Databricks, fast-paced startups or financial services is advantageous.
• Technical leadership, project delivery or engineering team management experience would be an advantage.