AI/ML Engineer

You should have a minimum of 1+ years of experience in AI-based application development. Your role will include fine-tuning pre-existing models to improve performance and accuracy, designing and implementing machine learning models, and optimizing model performance through experimentation and hyperparameter tuning. You must have experience with TensorFlow or PyTorch, as well as other deep learning architectures like CNNs, RNNs, and GANs. Familiarity with APIs such as OpenAI or Vertex AI is also required. Additionally, you should be proficient in Python and able to write optimized scripts for both relational and non-relational databases. As part of your responsibilities, you will need to test and validate AI models to ensure they meet quality standards and business objectives. You will also be developing and maintaining APIs using Python frameworks such as FastAPI, Flask, or Django to integrate AI capabilities into various systems. Continuous learning and professional development in AI and related technologies is essential for this role. You will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure, as well as experience with version control systems like Git, is necessary. Experience with deploying models using Docker, Kubernetes, AWS Bedrock, and Sagemaker is a plus. Strong problem-solving skills are required to translate complex business problems into AI solutions effectively.,