TL;DR
Senior Ml Engineer (AI Engineering): Creating ML models from scratch or improving existing models with an accent on LLMs in production, RAG architecture, and agentic systems. Focus on experimentation roadmap and innovative solutions.
Location: Remote
Company
hirify.global specializes in AI and ML technologies, cloud services, and data engineering.
What you will do
- Create ML models from scratch or improve existing models.
- Collaborate with the engineering team, data scientists, and product managers on production models.
- Develop experimentation roadmap.
- Set up a reproducible experimentation environment and maintain experimentation pipelines.
- Monitor and maintain ML models in production to ensure optimal performance.
- Write clear and comprehensive documentation for ML models, processes, and pipelines.
Requirements
- Comfortable with standard ML algorithms and underlying math.
- Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
- AWS Bedrock experience strongly preferred
- Practical experience with solving classification and regression tasks in general, feature engineering.
- Practical experience with ML models in production.
- Python expertise, Docker.
Nice to have
- Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
- Practical experience with deep learning models.
- Experience with taxonomies or ontologies.
- Practical experience with machine learning pipelines to orchestrate complicated workflows.
Culture & Benefits
- Opportunities for development and growth.
- Be a part of a team that is dedicated to building cutting-edge technology solutions.
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