AI Engineer

Job Summary

We are looking for a skilled AI Engineer to design, build, and deploy scalable AI and machine learning solutions. The ideal candidate will have strong hands-on experience in developing production-ready AI models and working closely with engineering and business teams to deliver impactful AI-driven solutions.

Requirements

Must-Have Skills & Experience

Core AI & Machine Learning Skills

• Strong experience as an AI Engineer working on real-world use cases
  

• Solid understanding of machine learning, deep learning, and AI algorithms
  

• Hands-on experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn
  

• Experience building, training, validating, and deploying ML models
  

Data & Engineering Skills

• Strong knowledge of data preprocessing, feature engineering, and model evaluation
  

• Experience working with structured and unstructured data
  

• Familiarity with databases (SQL / NoSQL) and data pipelines
  

Model Deployment & MLOps

• Experience deploying AI/ML models into production environments
  

• Understanding of MLOps practices, model monitoring, and versioning
  

• Exposure to Docker, Kubernetes, or cloud platforms (AWS, Azure, or GCP) is a plus
  

Software Engineering

• Strong coding and debugging skills
  

• Understanding of APIs, microservices, and system integration
  

• Ability to write clean, maintainable, and scalable code
  

Key Responsibilities

• Design, develop, and deploy AI/ML models for business use cases
  

• Collaborate with data scientists, software engineers, and stakeholders
  

• Optimize models for performance, scalability, and reliability
  

• Build end-to-end AI pipelines from data ingestion to inference
  

• Ensure AI solutions follow best practices for security, performance, and maintainability
  

• Monitor model performance and retrain models as required
  

• Document solutions and contribute to technical knowledge sharing