An AI/ML (Artificial Intelligence / Machine Learning) developer designs, trains, and deploys intelligent algorithms and systems to automate processes and solve complex business problems. They manage the complete model lifecycle, translating business requirements into production-ready software and scaling AI models across cloud environments.Responsibilities Model Development: Design, train, and validate machine learning and deep learning algorithms.Data Preparation: Clean, preprocess, and analyze raw datasets to ensure high-quality training inputs.System Integration: Collaborate with software and cloud engineers to integrate AI models into production applications.Technical Skills Programming Languages: Advanced proficiency in Python, Java, or Golang.ML/DL Frameworks: Experience with TensorFlow, PyTorch, scikit-learn, or Keras.Cloud Platforms: Hands-on experience with AWS, Google Cloud Platform (GCP), or Microsoft Azure.Data Handling: Strong SQL, data warehousing, and experience with vector databases (e.g., Pinecone, Milvus).Tools & Infrastructure: Familiarity with Git, Docker, Kubernetes, and MLOps/LLMOps tools.