Data & AI/ML Solution Architect

Ekfrazo Technologies Private Limited; New Jersey; On-site; USD 180,000 - 240,000; Full time

Job summary

Ekfrazo Technologies Private Limited is seeking a seasoned Data & AI-ML Solution Architect to lead the design of AI/ML architectures for digital transformation initiatives in New Jersey. You will guide data and platform strategy, drive the ML lifecycle from data ingestion to deployment and retraining, and mentor cross-functional teams to deliver secure, scalable AI solutions.

Strong client and stakeholder engagement across Government, Life Sciences, Healthcare, Fintech, Retail, and Technology

Qualifications

• Bachelor’s or master's degree in Computer Science, Data Science, Engineering, or a related technical field.
• 15+ years of experience in AI/ML, data engineering, or related domains.
• Proven experience leading large technical teams and managing enterprise-scale AI platforms.
• Strong communication and consulting skills, with the ability to bridge technical and business discussions.

Responsibilities

• Lead end-to-end AI/ML solution design and delivery - from problem definition, data ingestion, and feature engineering to model build, deployment, monitoring, and retraining.
• Architect and evolve enterprise-grade data and ML platforms enabling modular, reusable, and scalable analytics and intelligence solutions.
• Provide strategic technical and business consulting to clients across industries such as Government, Life Sciences & Healthcare, Financial Services/Fintech, Retail, and Technology.
• Dive MLOps initiatives, ensuring efficient model management and lifecycle automation.
• Collaborate with product development, engineering, and business teams to translate business goals into actionable AI/ML solutions.
• Oversee the implementation of testing, personalization, and measurement frameworks supporting AI-driven user experiences.

Skills

Python

SQL

C++

Pandas

Scikit-learn

TensorFlow

Keras

PyTorch

ML/DL/NLP/CV

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

Tools

Databases

End-to-end pipeline

Visualization tools

Compute optimization

Job description

Work authorization: We are currently unable to provide visa sponsorship for this position

Brief Summary of the Role:

Client is seeking an accomplished Data & AI-ML Solution Architect - a technology-forward Architect motivated by the opportunity to work in a differentiated, innovative environment, and to architect impactful solutions for clients in digital transformation initiatives leveraging artificial intelligence and machine learning. The ideal candidate will have deep expertise across the full ML lifecycle and a proven track record in leading cross-functional teams to deliver impactful business outcomes through data, technology, and innovation.

This role will address complex business challenges by designing scalable, secure, and reliable AI/ML architectures, ensuring strategic alignment, vision realization, and partnership with client's stakeholder groups.

Key Responsibilities:

• Lead end-to-end AI/ML solution design and delivery -from problem definition, data ingestion, and feature engineering to model build, deployment, monitoring, and retraining.
• Architect and evolve enterprise-grade data and ML platforms enabling modular, reusable, and scalable analytics and intelligence solutions.
• Provide strategic technical and business consulting to clients across industries such as Government, Life Sciences & Healthcare, Financial Services/Fintech, Retail, and Technology.
• Drive MLOps initiatives, ensuring efficient model management and lifecycle automation.
• Collaborate with product development, engineering, and business teams to translate business goals into actionable AI/ML solutions.
• Oversee the implementation of testing, personalization, and measurement frameworks supporting AI-driven user experiences.

Technical Skills:

• Data Science: Python, SQL, C++, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch; expertise in ML/DL/NLP/CV
• Data Engineering: Databases, compute optimization, end-to-end pipeline architecture, visualization tools
• Software Development: SDLC, Agile methodologies, project management, roadmap planning
• Business Analytics: AI vision, data strategy, testing, personalization, measurement, and research methodologies

Qualifications:

• Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 15+ years of experience in AI/ML, data engineering, or related domains.
• Proven experience leading large technical teams and managing enterprise-scale AI platforms.
• Strong communication and consulting skills, with the ability to bridge technical and business discussions.