Description

You will architect and develop end-to-end AI/ML solutions.

Responsibilities

• Design, implement, and deploy supervised and unsupervised models, including neural networks (CNNs, RNNs, LSTMs).
• Develop and integrate Generative AI solutions using LLMs, applying prompt engineering and fine-tuning techniques (LoRA, PEFT).
• Manage the full model lifecycle by implementing MLOps pipelines, containerizing services with Docker and Kubernetes.
• Drive adoption of the Databricks platform to automate model development and create reusable solution templates.
• Build user-facing AI application prototypes using Streamlit and standard web technologies.

Required Skills

• 5+ years of professional experience in ML/AI solution architecture.
• Expert proficiency in Python and strong software engineering practices.
• Experience deploying models using Docker and Kubernetes.
• Knowledge of MLOps principles and lifecycle management.
• Familiarity with cloud environments (AWS or Azure).
• Experience building APIs using FastAPI for scalable endpoints.
• Proficiency in advanced modeling techniques (regression, classification, time-series).
• Skills in frontend development (HTML, CSS, JavaScript).

Key Skills

Education

Any Gradute