About the role
Design, train, and evaluate ML models for core product features.
- •Design, train, and evaluate ML models to drive core product features.
- •Key Responsibilities Design, train, fine-tune, and evaluate deep learning models.
- •Build, scale, and maintain ML pipelines using MLOps frameworks.
- •Collaborate with teams to integrate AI models into microservices.
- •Architect scalable data pipelines for preprocessing and ingestion.
- •Implement evaluation frameworks for model alignment and bias mitigation.
- •Requirements 6+ years of experience deploying ML/AI solutions.
- •Ability to write high-quality code in Python.
- •Experience building RAG-based solutions.
- •Experience setting up and maintaining vector databases.
Tech stack
PythonTensorFlowscikit-learnHugging Face
Match insights
Tech:Python, TensorFlow, scikit-learn, Hugging Face
Level:Senior