Description

You will lead MLOps initiatives, bridging client requirements with technical implementation across the machine learning lifecycle.

This role is remote.

Responsibilities

• Define technical requirements with client teams and identify machine learning opportunities.
• Develop custom ML solutions and select appropriate tools to meet project objectives.
• Identify and implement process improvements 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

• 5+ years of experience in AI/ML development.
• 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.
• Bachelor's degree.

Preferred Skills

• Knowledge of GPU programming, profiling, and optimizations.
• Experience with TensorRT.

Key Skills

Education

Bachelor's degree