Description
You will lead MLOps initiatives and bridge the gap between client requirements and technical implementation.
Responsibilities
- Meet with client teams to define technical requirements and identify machine learning opportunities.
- Develop custom solutions and utilize appropriate tools to meet project objectives.
- Identify and implement areas for process improvement within the ML lifecycle.
- Communicate project status and technical updates to management and cross-functional teams.
- Maintain clear communication channels between internal and external stakeholders.
Required Skills
- Over 5 years of experience in AI/ML development.
- Minimum 3 years of experience specifically in MLOps roles.
- Proficiency in Python.
- Experience with PyTorch and TensorFlow.
- Hands-on experience with TFX and Flask.
- Experience deploying models using TorchServing.
- Practical knowledge of GCP (Google Cloud Platform), Vertex AI, and Kubeflow.
- Strong analytical and communication skills.
- Bachelor's degree.
Preferred Skills
- Knowledge of GPU programming, profiling, and optimizations.
- Experience with TensorRT.