AI/ML Solution Architect

Overview

Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

R
PYTORCH
AI
NLP
TENSORFLOW
DEEP LEARNING
WORD2VEC
ML
Solution Architecture

Job Details

Hello Sir/Ma'am,






Please go through the following position and if you are comfortable please reply with your updated Resume ASAP.






Position: Gen AI/ML Solution Architect

Location: Houston, TX - (5 days onsite per week)



Duration: Long Term






Notes:





Minimum 2-3 Project on GEN AI LLM Architect

Machine Learning with MLOps

Convert business problems to solution

Must have 14+years Experience

Must have working experience as Solution Architect





Job Summary:

We are seeking an experienced Gen AI/ML Solution Architect to lead the design, development, and deployment of advanced AI-driven solutions. The ideal candidate will have over a decade of expertise in AI, machine learning, data mining, NLP, and predictive analytics, with proven success in architecting large-scale data science solutions and delivering business impact.






Key Responsibilities:





Lead end-to-end Gen AI/ML solution architecture from problem definition, data acquisition, and feature engineering to model deployment and monitoring.

Collaborate with business stakeholders to define requirements and translate them into scalable AI/ML solutions.

Design and implement advanced NLP systems using state-of-the-art models (BERT, ELMO, word2vec) for tasks such as sentiment analysis, named entity recognition, and topic modeling.

Build and integrate predictive models, leveraging cloud-based platforms such as Azure Machine Learning for forecasting and analytics.

Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems.

Implement personalized recommendation engines using cutting-edge frameworks (e.g., Semantic Kernel).

Ensure solutions are optimized for performance, scalability, and maintainability in production environments.

Mentor and guide teams on AI/ML best practices, frameworks, and emerging technologies.








Required Qualifications:





Bachelor s in Engineering or Computer Science and a Master s in Information Technology, Telecommunications, or a related field.

14+ years of professional experience in AI, data mining, deep learning, predictive analytics, and machine learning.

Proven track record in the full data science project lifecycle, including data wrangling, statistical analysis, and data visualization.

Proficiency in Python and R, with expertise in AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, Transformers, and visualization tools (Matplotlib, Seaborn, ggplot2).

Strong knowledge of NLP techniques and frameworks, vector databases, and MLOps workflows.

Experience with cloud-based AI platforms (Azure ML, AWS Sagemaker, or Google Cloud Platform AI Platform).

Solid understanding of cognitive AI systems, intelligent automation, and decision-support systems.








Preferred Skills:





Experience with Retrieval-Augmented Generation (RAG) pipelines and Semantic Kernel integration.

Expertise in deploying AI solutions at enterprise scale with robust API integrations.

Strong communication and leadership skills for cross-functional collaboration.








Thanks & Regards,

Nitein A Parijaat



Email ID:
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