The Dignify Solutions, LLC · 5 months ago
Sr. Solution Architect – Advanced Analytics - Remote (Full Time)
United States
Full-time
Remote
Senior Level
6+ years expThe Dignify Solutions, LLC is seeking a Sr. Solution Architect specializing in Advanced Analytics. The role involves managing a team of data scientists, designing AI architecture, and implementing machine learning solutions to meet enterprise requirements.
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Responsibilities
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
Qualification
Required
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
Preferred
Experience in any 2 verticals (Life science, manufacturing, BFSI, Energy and Utilities) is desired
Company
The Dignify Solutions, LLC
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains).
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase