AI Architect

Job Title

AI/ML Engineer

Job Summary

We are looking for a talented AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will work on building scalable AI models, optimizing machine learning pipelines, and integrating intelligent systems into business applications.

Key Responsibilities

• Design, develop, train, and deploy machine learning models
• Build scalable AI/ML pipelines and production-ready solutions
• Work with structured and unstructured datasets for model training
• Collaborate with data scientists, software engineers, and product teams
• Optimize model accuracy, scalability, and performance
• Implement deep learning, NLP, and computer vision solutions where required
• Monitor, retrain, and improve deployed models
• Develop APIs and integrate ML models into applications
• Maintain model documentation and version control
• Stay updated with the latest AI/ML technologies and research

Required Skills & Qualifications

Technical Skills

• Strong programming skills in Python
• Experience with machine learning frameworks:
  • TensorFlow
  • PyTorch
  • Keras
  • Scikit-learn
• Knowledge of:
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Generative AI concepts
• Experience with MLOps tools and workflows
• Familiarity with Docker and Kubernetes
• Experience with cloud platforms:
  • Amazon Web Services
  • Google Cloud
  • Microsoft
• Understanding of REST APIs and microservices
• Knowledge of SQL and NoSQL databases
• Familiarity with Git and CI/CD pipelines

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and collaboration abilities
• Ability to work in agile environments
• Innovation and research mindset
• Attention to detail

Educational Requirements

• Bachelor's or Master's degree in:
  • Computer Science
  • Artificial Intelligence
  • Data Science
  • Machine Learning
  • Related field

Preferred Experience

• 3+ years of experience in AI/ML development
• Experience deploying ML models into production
• Hands-on experience with cloud-based AI services
• Exposure to Generative AI and LLM-based applications is a plus