AI/ML Engineer

Role Overview

As an AI/ML Engineer, you will develop and implement advanced Machine Learning and Deep Learning models, working across the entire lifecycle from data preprocessing to model deployment and integration into applications.

Responsibilities

• Develop and implement Machine Learning and Deep Learning models.
• Collect, clean, preprocess, and analyze structured and unstructured data.
• Build and optimize predictive models using Python.
• Work with frameworks such as Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.
• Develop AI-powered applications and APIs.
• Work on Generative AI, LLMs, Prompt Engineering, RAG, and AI Agents.
• Integrate AI/ML models into web and mobile applications.
• Perform model evaluation, optimization, testing, and deployment.
• Work with databases and vector databases for AI applications.
• Collaborate with developers, data scientists, and project teams.
• Research emerging AI/ML technologies and implement suitable solutions.
• Maintain technical documentation and project reports.

Requirements

• Proven experience in building and optimizing predictive models.
• Strong understanding of Generative AI, LLMs, and RAG architectures.
• Ability to work with both structured and unstructured data.
• Experience integrating models into production environments.

Skills

• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Generative AI