Description

You will build and deploy AI features into production systems.

Responsibilities

• Prepare and structure datasets for AI feature development, testing, and quality evaluation.
• Implement AI performance metrics to drive data-informed iterative improvements.
• Translate prototypes into production-ready code, ensuring maintainability and scalability.
• Participate in agile development, including sprint planning and code reviews.
• Integrate AI models into production systems using APIs and data pipelines.

Required Skills

• 2+ years of experience in software engineering, with at least 1 year focused on AI/ML.
• Proficiency in Python and experience with PyTorch and TensorFlow.
• Strong understanding of machine learning principles, evaluation, and system design.
• Knowledge of MLOps and the end-to-end lifecycle of AI-powered applications.
• Experience integrating AI models into production systems via APIs and data pipelines.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Experience with AI-driven systems, agent-based architectures, or AI APIs like OpenAI.
• Experience with vector databases, embeddings, or search-based AI.
• Demonstrable portfolio of projects building solutions with LLMs.

Key Skills

Education

Any Graduate