Experience: 9 -15 years Core AI/ML & Gen AI: Deep understanding of deep learning, machine learning algorithms, NLP, and Generative AI (LLMs, LangChain, LlamaIndex, vector databases). Programming & Frameworks: Proficiency in Python. Extensive experience with AI frameworks such as PyTorch, TensorFlow, or Keras. Cloud Platforms: Expertise in architecting solutions on major cloud platforms (AWS, Azure, or GCP) utilizing their native AI/ML services (e.g., AWS SageMaker/Bedrock, Azure ML/OpenAI, Google Vertex AI). Data Architecture: Strong background in data engineering concepts, distributed computing (Spark, Hadoop), and modern data warehousing (e.g., Snowflake, Databricks). MLOps: Hands-on experience with MLOps tools and practices for model registry, CI/CD, and monitoring (e.g., MLflow, Kubeflow, Docker, Kubernetes). System Design: Proven ability to design scalable microservices and APIs for serving machine learning models. Soft Skills: Exceptional commu...