Neural Solutions

60 Neural Solutions Jobs Hiring Near You

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 ...

Hybrid About Neural Concept Engineering is at an inflection point. The teams defining the next ... Coordinate Solution Engineering, Product, Forward Deployed Engineers and leadership around ...

The DataDirect Networks Principal Solutions Architect role blends deep technical expertise with a ... Experience with modern AI technologies including LLMs, RAG, inference, neural networks, vector ...

The DataDirect Networks Principal Solutions Architect role blends deep technical expertise with a ... Experience with modern AI technologies including LLMs, RAG, inference, neural networks, vector ...

Showing results 41-60

Sr. Solution Architect - Advanced Analytics - Remote

The Dignify Solutions

Hoboken, NJ • On-site, Remote

Full-time

Re-posted 13 days ago


Job 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

Dignify Solutions logo

About Dignify Solutions

Sourced by ZipRecruiter

The Dignify Best Serves To Its Clients By Adhering To And Executing Superior Processes. The company is dedicated to operational excellence as part of a client-centric mindset that assures consistent execution. The Dignify has developed and refined every step in the full lifecycle staffing fulfillment and consultant management practice

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US