Description

Design, develop, and deploy Generative AI applications within the AI/ML space.

This role is hybrid.

Responsibilities

• Design and maintain Python applications using GenAI tools and technologies.
• Integrate GenAI with AI/ML models, APIs, and data pipelines.
• Build scalable services for real-time and batch processing of AI workflows.
• Collaborate with data scientists and ML engineers to implement AI-driven solutions.
• Optimize performance and reliability of AI applications and services.

Required Skills

• 3+ years of professional Python development experience.
• Proficiency in Python frameworks: FastAPI, Flask, or Django.
• Solid understanding of AI/ML concepts and frameworks: PyTorch, TensorFlow, or Hugging Face Transformers.
• Hands-on experience with OpenAI models, Azure Data Factory, and Azure Databricks.
• Knowledge of RESTful APIs and microservices architectures.
• Experience with cloud platforms (Azure or GCP) and containerization (Docker, Kubernetes).
• Experience with vector databases (Pinecone, Weaviate, FAISS) and Retrieval-Augmented Generation (RAG).
• Experience with data integration and data pipelines.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

Preferred Skills

• Direct experience working on AI/ML projects.

Key Skills

Education

Any Graduate