AI/ML Engineer

Job Description

We are looking for a versatile AI/ML Engineer who can work across machine learning, deep learning, computer vision, generative AI, data processing, and production deployment.

This role is ideal for an all-rounder who enjoys experimenting with new technologies and turning AI concepts into practical, production-ready solutions.

Responsibilities

• Design, train, evaluate, and improve machine learning models
• ⁠Work on computer vision, generative AI, prediction, classification, and automation projects
• Collect, clean, preprocess, and analyze datasets
• Fine-tune existing models and experiment with modern AI architectures
• Build training, testing, and model evaluation pipelines
• Optimize models for accuracy, speed, memory usage, and scalability
• Deploy and integrate AI models into web, mobile, cloud, and edge applications
• Collaborate with software engineers to build complete AI-powered products
• ⁠Research and rapidly prototype new AI ideas
• ⁠Write clean, reusable, and well-documented code

Requirements

• Strong proficiency in Python
• ⁠Experience with PyTorch, TensorFlow, or similar frameworks
• Good understanding of machine learning, deep learning, and data preprocessing
• ⁠Experience with computer vision, generative AI, NLP, or related fields
• ⁠Familiarity with model training, fine-tuning, evaluation, and deployment
• Understanding of APIs, backend systems, databases, and cloud workflows
• Working knowledge of Git and version control
• Strong analytical and problem-solving skills
• Ability to learn new technologies and work across different AI projects
• Ability to work independently and collaborate with a multidisciplinary team
  Experience with MLOps, GPU infrastructure, edge AI, data engineering, or AI research is an added advantage.