Description

You will design, deploy, and maintain machine learning models within production environments. You will integrate AI capabilities into existing workflows and implement MLOps practices for continuous integration and deployment.

Responsibilities

• Design and deploy machine learning models in production.
• Integrate AI models into existing toolchains and workflows.
• Apply Generative AI technologies to business contexts.
• Implement MLOps practices for continuous integration and deployment of models.

Required Skills

• 4+ years of experience in software architecture.
• 4+ years of experience in AI/ML or data-centric roles.
• Proficiency in Python, R, or Java.
• Expertise in TensorFlow, PyTorch, and scikit-learn.
• Strong understanding of Azure cloud platforms and AI/ML services.
• Experience with SQL, NoSQL databases, and ETL tools.
• Proficiency in LLMs and Generative AI toolchains, including RAG.

Preferred Skills

• Experience with MLOps tools for model deployment.

Key Skills

Education

Any Graduate