Artificial Intelligence / Machine Learning Engineer

Required Qualifications

• Develop, train, and evaluate machine learning models using Python and frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Work on AI/ML use cases including NLP/LLMs (transformers, prompt engineering), time series forecasting, or recommender systems
• Perform data preprocessing, feature engineering, and statistical analysis on structured and unstructured data
• Build and deploy APIs/services using FastAPI or Flask
• Utilize cloud platforms such as AWS, Azure, GCP, or OCI for model deployment and experimentation
• Apply basic DevOps practices including Docker and CI/CD tools like GitHub Actions or Azure DevOps
• Work with databases including SQL, PostgreSQL, and exposure to NoSQL or vector databases
• Use MLOps tools such as MLflow, Airflow, or Kubeflow for experiment tracking and workflow orchestration
• Develop automation scripts using Bash or PowerShell
• Collaborate with cross-functional teams and contribute to documentation and technical design