Artificial Intelligence Engineer

Role overview

Intuvia Technologies is seeking an AI/ML Engineer to design, develop, and deploy machine learning and AI-driven solutions. You will build scalable, data-driven systems, improve model performance, and integrate AI capabilities into production business applications.

Key responsibilities

• Design, develop, and deploy machine learning and deep learning models
• Work with large datasets for data preprocessing, feature engineering, and model training
• Build and optimize models for performance, scalability, and accuracy
• Implement AI solutions such as NLP, computer vision, or predictive analytics (based on project needs)
• Collaborate with data engineers, software developers, and business teams
• Deploy models to production using cloud platforms (AWS/Azure/GCP)
• Monitor model performance and retrain models as needed
• Stay up to date with latest AI/ML trends and technologies

Required skills & qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
• Experience with Python and ML libraries: scikit-learn, TensorFlow, PyTorch
• Data processing skills with Pandas and NumPy
• Strong understanding of algorithms, statistics, and linear algebra
• SQL experience with large datasets
• Hands-on experience with cloud platforms (AWS/Azure/GCP)

Preferred/nice-to-have

• Knowledge of NLP, Computer Vision, or Generative AI
• Experience with LLMs (e.g., OpenAI, Hugging Face)
• MLOps tools: MLflow, Kubeflow, Docker, Kubernetes
• Big data tools: Spark, Hadoop
• Model deployment and API development: FastAPI or Flask