The Dignify Solutions, LLC

Compensation

Full 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 • Experience in Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Deep Neural Networks,..) • Developing AI and ML models in real-world environments, and integrating AI and ML using cloud-native or hybrid technologies into large-scale enterprise applications. • Experience in developing best practices for the ML life cycle, feature engineering, model management, MLOps, deployment, and monitoring. • Knowledge and experience in working on Data Warehouse, Data Lake, and Reporting • Experience in any 2 verticals (Life science, manufacturing, BFSI, Energy and Utilities) is desired