Description

Build and deploy performant ML applications using Google Cloud Platform, LLMs, and NLP technologies.

This role is on-site.

Responsibilities

• Build and deploy applications using Google Cloud Platform services.
• Iterate on LLM design and implementation.
• Develop machine learning models and pipelines for Search, Retrieval, and Ranking.
• Manage data pipelines and workflows using orchestration tools.
• Utilize data visualization libraries to communicate model performance.

Required Skills

• 5+ years of experience in machine learning or related fields.
• Proficiency in Python.
• Hands-on experience with TensorFlow, PyTorch, or Keras.
• Experience with Google Cloud Platform services including Vertex AI and Kubeflow.
• Practical experience with LLM design and NLP tools like SpaCy, NLTK, or Hugging Face.
• Experience with workflow management using Airflow or Kubeflow.
• Experience with infrastructure tools such as Terraform, Pulumi, or Kubernetes.
• Knowledge of Google Batch or Cloud Life Sciences.
• Familiarity with MLFlow and the client ecosystem.

Preferred Skills

• Experience building ML pipelines specifically for Search, Retrieval, and Ranking tasks.

Key Skills

Education

Any Graduate