Senior AI Engineer

Focus : Building and Deploying Scalable AI Systems

Goal : Create Robust, Scalable, and Efficient AI-Powered Solutions

Core Responsibilities :

• Develop and implement machine learning and deep learning algorithms using Python , TensorFlow , PyTorch , and Scikit-learn
• Design scalable model training and inference pipelines leveraging Docker , Kubernetes , MLflow , and Airflow
• Deploy models to cloud platforms such as AWS SageMaker , GCP Vertex AI , and Azure ML
• Integrate CI / CD workflows using GitHub Actions and infrastructure as code via Terraform
• Optimize models using ONNX , TensorRT , and techniques like pruning and quantization
• Manage large-scale data processing with Spark , Kafka , and Hadoop
• Work with structured and unstructured data stored in SQL , NoSQL , and GraphDBs

Tech Stack :

Skills Required

Ml, Nlp, Cloud, Ai, Python