Description

Build and deploy deep learning models, backend data processing applications, and MLOps pipelines.

This role is hybrid.

Responsibilities

• Build backend applications for data processing using Python and deep learning frameworks.
• Deploy models and develop APIs using FastAPI or Flask.
• Engineer MLOps pipelines to manage deep learning workflows.
• Process text using LLMs, transformers, and embedding models.
• Manage model deployment and execution on GPU hardware.

Required Skills

• 9+ years of experience in data science or related fields.
• Proficiency in Python programming and PySpark/Databricks.
• Strong experience with NLP and LLMs, including Hugging Face models like Llama and Mistral AI.
• Hands-on experience with vector databases such as Milvus, Azure Cognitive Search, or Qdrant.
• Proven experience in deep learning engineering and MLOps.
• Experience building and deploying APIs with FastAPI or Flask.
• Practical experience working with GPUs.

Preferred Skills

• Knowledge of Kubernetes and Docker.
• Experience with Azure storage and virtual machines.
• Sound data engineering experience.

Key Skills

Education

Any Gradute