Description

You will design and implement AI/ML architectures for production systems, focusing on Machine Learning, Deep Learning, and Generative AI.

This role is remote.

Responsibilities

• Design AI/ML solution architectures, including LLM and Generative AI patterns, for production environments.
• Manage the full model lifecycle through MLOps, covering training, deployment, monitoring, and retraining.
• Implement GenAI patterns using prompt engineering, vector databases, and Retrieval-Augmented Generation (RAG).
• Build and maintain scalable systems using microservices, APIs, and event-driven architectures.
• Ensure model security, privacy, compliance, and responsible AI practices.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Proficiency in Python for machine learning and data engineering.
• Experience with C# and .NET Core.
• Hands-on expertise with AI frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain.
• Experience with Agentic AI and vector databases.
• Knowledge of Azure cloud platforms and managed AI/ML services.
• Strong understanding of system design, microservices, and APIs.
• Ability to handle model performance optimization and governance.
• Degree in any graduate field.

Preferred Skills

• Experience with event-driven architectures and complex system design.

Key Skills

Education

Any Gradute