AIML Architect
AIML Architect
Posted on :
29-01-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
29-01-2025
Job Description
AI/ML Architect
Minneapolis MN / Trenton NJ/ Hartford CT
Minneapolis MN / Trenton NJ/ Hartford CT
Technical/Functional Skills
Bachelors or masters degree in computer science Information Technology or a related field.
Experienced AI Architect with 10 years of experience in architecting designing and deploying Machine Learning (ML) solutions to generate business value
Proven track record of providing solutions from initiation stage to Production deployment.
Solid theoretical and practical knowledge of some or most
Econometric/statistical methods like Linear Regression Logistic regression Generalized Linear Model Survival Analysis Sampling Techniques Time Series Analysis CART CHAID Clustering Discriminant Analysis Principal Component Analysis Factor Analysis Multidimensional Scaling etc.
Machine Learning techniques like Random Forest Support Vector Machine Gradient Boosting Machine XGBoost etc.
Deep Learning techniques across Recurrent Neural Networks Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV)Consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organization
Generative AI techniques like RAG Agentic Workflows Graph RAG Model Tuning etc
Data Preprocessing Feature Engineering Data Visualization Exploratory Data Analysis (EDA) Statistical Analysis
Extensive experience in Cloud security MLOps
Excellent analytical and problemsolving skills with the ability to translate complex business requirements into technical solutions.
Strong communication and interpersonal skills to effectively collaborate with technical and nontechnical stakeholders.
Previous experience in mentoring or leading technical teams.
Familiarity with security and compliance considerations related to automation solutions.
Extensive knowledge of automation technologies AI/ML cloud computing
Bachelors or masters degree in computer science Information Technology or a related field.
Experienced AI Architect with 10 years of experience in architecting designing and deploying Machine Learning (ML) solutions to generate business value
Proven track record of providing solutions from initiation stage to Production deployment.
Solid theoretical and practical knowledge of some or most
Econometric/statistical methods like Linear Regression Logistic regression Generalized Linear Model Survival Analysis Sampling Techniques Time Series Analysis CART CHAID Clustering Discriminant Analysis Principal Component Analysis Factor Analysis Multidimensional Scaling etc.
Machine Learning techniques like Random Forest Support Vector Machine Gradient Boosting Machine XGBoost etc.
Deep Learning techniques across Recurrent Neural Networks Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV)Consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organization
Generative AI techniques like RAG Agentic Workflows Graph RAG Model Tuning etc
Data Preprocessing Feature Engineering Data Visualization Exploratory Data Analysis (EDA) Statistical Analysis
Extensive experience in Cloud security MLOps
Excellent analytical and problemsolving skills with the ability to translate complex business requirements into technical solutions.
Strong communication and interpersonal skills to effectively collaborate with technical and nontechnical stakeholders.
Previous experience in mentoring or leading technical teams.
Familiarity with security and compliance considerations related to automation solutions.
Extensive knowledge of automation technologies AI/ML cloud computing
Roles & Responsibilities
Operationalizing AI mapping requirements to implementation selecting the appropriate technologies and evaluating nonfunctional attributes such as security usability and stability.
AI Architect closes this datatoinsighttoaction loop which requires deep understanding of the applications and integration infrastructure environment. Setting up AI/ML processing environments in IT landscape is a must.
Detailing mapping IT and security process to AI process. Influencing and working with business partners to establish and accelerate AI adoption. Audit AI solutions for architecture scalability and security; especially in an enterprise landscape with cloud as apriority.
Mapping requirements to implementation Analysing coordinating prioritizing and optimizing requirements. Ensuring implementation even with constraints.
Selecting technology selecting appropriate technologies from the many open source commercial onpremises and cloudbased offerings available. Integrating a new generation of tools within the existing environment is also to help ensure access to accurate and current data. Because technology in this domain is evolving rapidly
Ensures that components can be replaced with wellsuited alternatives that do not require any adjustment or downtime.
Foresight when selecting new technologies like Functional and non functional requirements considering aspects like security usability and stability.
Operationalizing AI mapping requirements to implementation selecting the appropriate technologies and evaluating nonfunctional attributes such as security usability and stability.
AI Architect closes this datatoinsighttoaction loop which requires deep understanding of the applications and integration infrastructure environment. Setting up AI/ML processing environments in IT landscape is a must.
Detailing mapping IT and security process to AI process. Influencing and working with business partners to establish and accelerate AI adoption. Audit AI solutions for architecture scalability and security; especially in an enterprise landscape with cloud as apriority.
Mapping requirements to implementation Analysing coordinating prioritizing and optimizing requirements. Ensuring implementation even with constraints.
Selecting technology selecting appropriate technologies from the many open source commercial onpremises and cloudbased offerings available. Integrating a new generation of tools within the existing environment is also to help ensure access to accurate and current data. Because technology in this domain is evolving rapidly
Ensures that components can be replaced with wellsuited alternatives that do not require any adjustment or downtime.
Foresight when selecting new technologies like Functional and non functional requirements considering aspects like security usability and stability.
Preferred Skills:
Previous involvement in largescale organizations implementing automation strategies.
Proficiency AI/ML technologies.
Domain Driven Design experience
Ability to work on multiple largescale technology initiatives concurrently
Exceptional interpersonal skills in areas such as teamwork facilitation and negotiation
Excellent analytical and collaboration skills and techniques to create innovative market leading solutions
Excellent time management communication decision making and presentation skills
Global team experience
Previous involvement in largescale organizations implementing automation strategies.
Proficiency AI/ML technologies.
Domain Driven Design experience
Ability to work on multiple largescale technology initiatives concurrently
Exceptional interpersonal skills in areas such as teamwork facilitation and negotiation
Excellent analytical and collaboration skills and techniques to create innovative market leading solutions
Excellent time management communication decision making and presentation skills
Global team experience
Employment Type
Full Time
Key Skills
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