What are the responsibilities and job description for the AI / ML Architect position at Centraprise?
Technical/Functional Skills
• Bachelor’s or master’s 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
o 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.
o Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.
o 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
o 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 problem-solving skills, with the ability to translate complex business requirements into technical solutions.
• Strong communication and interpersonal skills to effectively collaborate with technical and non-technical 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
Experience Required Yes
Roles & Responsibilities
• Operationalizing AI, mapping requirements to implementation, selecting the appropriate technologies, and evaluating non-functional attributes such as security, usability, and stability.
• AI Architect closes this data-to-insight-to-action 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 on-premises, and cloud-based 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 well-suited 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 large-scale organizations implementing automation strategies.
• Proficiency AI/ML technologies.
• Domain Driven Design experience
• Ability to work on multiple large-scale 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
Anshul kumar | Talent Acquisition Lead
Desk: 1 469-378-5785, Ext. 409
Email: anshul.k@centraprise.com
"Centraprise is an equal opportunity employer. Applicants must be authorized to work in the U.S. U.S. citizens and Green Card holders are strongly encouraged to apply."
