Lead AI/ML Architect

Experienced AI/ML Architect to design and lead the implementation of advanced AI and machine learning solutions. This role involves defining scalable AI/ML architectures, optimizing model performance, and collaborating with different business units and divisions to integrate AI capabilities into business applications. The ideal candidate will have a strong background in machine learning, cloud computing, and software architecture. Key Skills: Collaborate with stakeholders to identify, analyze, and document business and technical requirements, ensuring clear communication between teams for effective project execution. Design and architect end-to-end AI/ML solutions, ensuring scalability, security, and efficiency. 12+ years of experience in AI/ML engineering, including at least 4 years in an architectural role Extensive experience in AI/ML model development, deployment, and lifecycle management. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, GCP, Azure). Strong programming skills in Python, Java, or C++ Proficiency in MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes). Deep understanding of distributed computing, big data technologies (Spark, Hadoop), and scalable data pipelines. Experience with NLP, deep learning, reinforcement learning, or generative AI. Experience in AI-driven business transformation and enterprise AI strategies. Familiarity with edge AI, IoT, or real-time AI processing. Knowledge of ethical AI frameworks and responsible AI principles. Strong problem-solving skills and ability to mentor AI/ML teams. Experience in agile development methodologies to deliver solutions and product features