AI/ML/GenAI Architect

As an AI/ML Solutions Architect with 10+ years of experience, you will be responsible for designing and implementing enterprise-grade AI/ML solutions. Your role will involve the successful end-to-end implementation of at least 3 AI/ML/GenAI projects in production environments, showcasing strong business impact and scalability. Key Responsibilities: - Demonstrate deep expertise in Generative AI architectures such as Large Language Models (LLMs) including prompt engineering, fine-tuning, RAG architectures, prompt chaining, and agentic workflows. - Showcase proficiency in Generative Adversative Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, etc. - Utilize various LLM frameworks/libraries like LangChain, LlamaIndex to enhance AI solutions. - Work with leading cloud AI platforms such as AWS (SageMaker, Comprehend, Textract, Polly, Bedrock), Azure (Azure Machine Learning, Azure OpenAI Service, Cognitive Services), and GCP (Vertex AI, Google Cloud AI Platform, Google Cloud Vision/Natural Language AI). - Apply strong understanding of core Machine Learning concepts and algorithms including Supervised, Unsupervised, Reinforcement Learning, and Deep Learning. - Utilize Python and relevant ML libraries like TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face Transformers effectively. - Implement MLOps principles and tools like CI/CD for ML, model versioning, monitoring, deployment, drift detection using tools like MLflow, Kubeflow, Sagemaker MLOps services, Azure ML pipelines. - Apply solid understanding of data engineering principles for AI/ML workloads including data pipelines, ETL/ELT, data governance, and feature stores. - Utilize distributed computing frameworks like Spark, Dask for large-scale data processing effectively. Qualifications Required: - You must possess exceptional communication skills, both written and verbal, to articulate complex technical concepts to various stakeholders. - Demonstrate experience in leading architectural design discussions and making critical technical decisions. - Possess a problem-solving mindset with the ability to troubleshoot and resolve complex technical issues in production environments. In this role, you will have the opportunity to work on cutting-edge AI/ML projects, driving innovation and delivering impactful solutions.,