Sr. Solution Architect – Advanced Analytics

Description:

• Total 14 to 15 Years of experience -
• Relevant experience 6 to 7 Years 
• Experience in solutions architecture or equivalent experience
• Experience in technical domains such as AI/ML, multimodal ML, model evaluation, MLOps, MLSecOps, ML training, inference, data engineering, data science, fine-tuning
• Manage and mentor a team of skilled data scientists, fostering a culture of collaboration, innovation, and continuous learning.
• Align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders
• Take the lead in designing the AI architecture and selecting technologies from both open-source and commercial offerings.
• Knowing the workflow and pipeline architectures of ML and deep learning workloads, including the components and trade-offs across data management, governance, model building, deployment, and production workflows, is crucial.
• Experience in advanced analytics tools (Python, R) along with applied mathematics, ML, Deep Learning frameworks (such as TensorFlow), and ML techniques (such as random forest and neural networks).
• Experience in Estimation and Proposal creation