Artificial Intelligence Engineer

Role Overview :

We are seeking skilled AI / ML Engineers to design, develop, and deploy machine learning models and intelligent systems. The ideal candidate should have strong hands-on experience in data preprocessing, model development, MLOps, and cloud-based deployment.

Key Responsibilities :

• Develop, train, and optimize machine learning and deep learning models for production use cases.
• Work with structured and unstructured datasets; perform data cleaning, feature engineering, and exploratory data analysis.
• Build scalable ML pipelines using modern tools and frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Deploy models into production using CI / CD, containerization (Docker), and orchestration tools (Kubernetes).
• Implement end-to-end MLOps workflows using AWS / Azure / GCP tools.
• Collaborate with data engineers, product teams, and cloud architects to integrate ML solutions into applications.
• Conduct performance tuning, A / B testing, model monitoring, and model retraining strategies.
• Stay updated with latest advancements in AI / ML technologies to enhance solution quality.

Technical Skills :

• Strong programming expertise in Python (Pandas, NumPy, Scikit-learn).
• Experience with Deep Learning frameworks (TensorFlow, Keras, PyTorch).
• Solid understanding of ML algorithms : regression, classification, clustering, NLP, computer vision, etc.
• Strong knowledge of MLOps concepts including pipelines, monitoring, and versioning.
• Hands-on experience with Docker, Git, API development (Flask / FastAPI).