

Senior AI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Architect on a contract basis, offering a pay rate of "unknown" and is remote. Requires 8–12+ years in AI/ML, strong Python skills, cloud platforms, and leadership experience. USC/GC preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#MLflow #"ETL (Extract #Transform #Load)" #AWS SageMaker #PyTorch #Data Science #Programming #Leadership #NLP (Natural Language Processing) #Libraries #Computer Science #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Deep Learning #Monitoring #NoSQL #Compliance #Databricks #Transformers #Hugging Face #TensorFlow #Deployment #Python #GCP (Google Cloud Platform) #Data Lake #Strategy #ML (Machine Learning) #Scala #Cloud #Data Architecture #Azure #SQL (Structured Query Language) #Data Engineering #SageMaker
Role description
Strictly NO C2C- only W2/1099
USC/GC preffered
Job Title: Senior AI Specialist (Engineer / Architect / Data Scientist / RPA)
Location: Remote
Employment Type: Contract/FT
About the Role
We are seeking a highly skilled Senior AI professional with deep expertise in AI/ML architecture, engineering, and data science. The ideal candidate will combine hands-on Python programming with strategic vision to design and deploy scalable AI solutions across enterprise and product environments. This role requires leadership in end-to-end AI solution design, from data architecture to production deployment, while ensuring compliance, ethics, and performance at scale.
Key Responsibilities
• AI/ML Architecture & Strategy
• Define and own the AI/ML architecture roadmap aligned with organizational strategy.
• Design scalable, high-performance AI platforms using cloud and hybrid infrastructures.
• Evaluate emerging AI technologies, frameworks, and LLMs for adoption.
• Engineering & Development
• Build and deploy machine learning and deep learning models using Python and modern frameworks.
• Collaborate with data engineering teams to design robust pipelines, feature stores, and data lakes.
• Implement MLOps best practices for CI/CD of AI models, monitoring, and lifecycle management.
• Data Science & Insights
• Apply advanced techniques in NLP, computer vision, predictive analytics, and generative AI.
• Translate complex business problems into AI-driven solutions and data-driven strategies.
• Conduct performance evaluation, tuning, and explainability for deployed models.
• Leadership & Collaboration
• Provide technical leadership and mentor engineers and data scientists.
• Work closely with business and product stakeholders to ensure AI adoption delivers measurable outcomes.
• Define best practices for ethical and responsible AI implementation.
Required Skills & Qualifications
• 8–12+ years of experience in AI/ML engineering, architecture, or data science.
• Strong proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
• Proven experience designing and deploying end-to-end AI solutions at scale.
• Hands-on expertise in cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI, Databricks).
• Strong background in data architecture (ETL/ELT pipelines, SQL/NoSQL, streaming data).
• Experience with MLOps tools (Kubeflow, MLflow, CI/CD pipelines for AI).
• Excellent problem-solving, communication, and leadership skills.
Preferred Qualifications
• Master’s or PhD in Computer Science, AI/ML, Data Science, or related field.
• Experience with Generative AI (LLMs, transformers, diffusion models).
• Contributions to open-source AI/ML projects or published research.
• Experience driving enterprise AI adoption and governance.
What We Offer
• Opportunity to define and lead AI strategy for enterprise-grade and product-driven initiatives.
• Exposure to cutting-edge AI/ML and generative AI technologies.
• Competitive compensation, benefits, and career growth.
• A collaborative, innovation-focused work culture.
Best Regards,
Grace Abinezer
Recruitment Consultant | H3 Technologies, LLC
📞 (859) 287-0731
📧 grace@h3-staffing.com
🌐 www.h3-technologies.com
71 Cavalier Blvd., Suite 208, Florence, KY - 41042
linkedin.com/in/grace-ebenezer-bb66a0251
Strictly NO C2C- only W2/1099
USC/GC preffered
Job Title: Senior AI Specialist (Engineer / Architect / Data Scientist / RPA)
Location: Remote
Employment Type: Contract/FT
About the Role
We are seeking a highly skilled Senior AI professional with deep expertise in AI/ML architecture, engineering, and data science. The ideal candidate will combine hands-on Python programming with strategic vision to design and deploy scalable AI solutions across enterprise and product environments. This role requires leadership in end-to-end AI solution design, from data architecture to production deployment, while ensuring compliance, ethics, and performance at scale.
Key Responsibilities
• AI/ML Architecture & Strategy
• Define and own the AI/ML architecture roadmap aligned with organizational strategy.
• Design scalable, high-performance AI platforms using cloud and hybrid infrastructures.
• Evaluate emerging AI technologies, frameworks, and LLMs for adoption.
• Engineering & Development
• Build and deploy machine learning and deep learning models using Python and modern frameworks.
• Collaborate with data engineering teams to design robust pipelines, feature stores, and data lakes.
• Implement MLOps best practices for CI/CD of AI models, monitoring, and lifecycle management.
• Data Science & Insights
• Apply advanced techniques in NLP, computer vision, predictive analytics, and generative AI.
• Translate complex business problems into AI-driven solutions and data-driven strategies.
• Conduct performance evaluation, tuning, and explainability for deployed models.
• Leadership & Collaboration
• Provide technical leadership and mentor engineers and data scientists.
• Work closely with business and product stakeholders to ensure AI adoption delivers measurable outcomes.
• Define best practices for ethical and responsible AI implementation.
Required Skills & Qualifications
• 8–12+ years of experience in AI/ML engineering, architecture, or data science.
• Strong proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
• Proven experience designing and deploying end-to-end AI solutions at scale.
• Hands-on expertise in cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI, Databricks).
• Strong background in data architecture (ETL/ELT pipelines, SQL/NoSQL, streaming data).
• Experience with MLOps tools (Kubeflow, MLflow, CI/CD pipelines for AI).
• Excellent problem-solving, communication, and leadership skills.
Preferred Qualifications
• Master’s or PhD in Computer Science, AI/ML, Data Science, or related field.
• Experience with Generative AI (LLMs, transformers, diffusion models).
• Contributions to open-source AI/ML projects or published research.
• Experience driving enterprise AI adoption and governance.
What We Offer
• Opportunity to define and lead AI strategy for enterprise-grade and product-driven initiatives.
• Exposure to cutting-edge AI/ML and generative AI technologies.
• Competitive compensation, benefits, and career growth.
• A collaborative, innovation-focused work culture.
Best Regards,
Grace Abinezer
Recruitment Consultant | H3 Technologies, LLC
📞 (859) 287-0731
📧 grace@h3-staffing.com
🌐 www.h3-technologies.com
71 Cavalier Blvd., Suite 208, Florence, KY - 41042
linkedin.com/in/grace-ebenezer-bb66a0251