ML Engineer

About the role

seasoned ML Engineer (MLOps) to join our team and drive the development and deployment of scalable machine learning solutions. The ideal candidate will have deep expertise in building robust ML pipelines, integrating large language models (LLMs), and managing model lifecycle using tools like MLFlow. You will work in agile teams, contributing to high-quality code and

What you'll do

• Ceremonies and contribute to sprint planning and retrospectives
• Scope and resolve technical issues
• Related to ML pipelines and infrastructure
• Write and implement clean
• Scalable, and maintainable code for ML workflows

What you need

• 12–15 years in data science & ai
• Machine learning
• Python
• MLOps
• LLMs
• AWS
• PostgreSQL
• Any graduate

Good to have

• Git