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Sr. Solution Architect – Advanced Analytics - Remote

Remote / Online - Candidates ideally in
New Jersey, USA
Listing for: The Dignify Solutions, LLC
Full Time, Seasonal/Temporary, Remote/Work from Home position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Solution Architect – Advanced Analytics - Remote (Full Time)

Sr. Solution Architect – Advanced Analytics - Remote (Full Time)

  • 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 Tensor Flow), 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, etc.)
  • 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
Details
  • Seniority level:
    Mid-Senior level
  • Employment type:

    Full-time
  • Job function:
    Other
  • Industries: IT Services and IT Consulting
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