

Applied AI Solutions Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Applied AI Solutions Architect on a 6+ month contract, paying $80-$90/hour, remote (U.S. EST). Requires 8+ years in ML engineering, expertise in AI/ML, MLOps, cloud platforms, and relevant industry experience. Certifications preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
720
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ποΈ - Date discovered
June 17, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
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π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Azure CLI (Azure Command Line Interface) #Cloud #Leadership #Deployment #SageMaker #AI (Artificial Intelligence) #MLflow #Hugging Face #TensorFlow #Scala #Python #Microsoft Azure #AWS (Amazon Web Services) #Data Science #R #Monitoring #Data Ingestion #Consulting #Azure #Data Lake #"ETL (Extract #Transform #Load)" #Compliance #Data Engineering #PyTorch #Computer Science #ML (Machine Learning) #Security #AWS SageMaker
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Pyramid Consulting, Inc., is seeking the following. Apply via Dice today!
Immediate need for a talented Applied AI Solutions Architect. This is a 06+months contract opportunity with long-term potential and is located in U.S(Remote; EST). Please review the job description below and contact me ASAP if you are interested.
Job ID: 25-74893
Pay Range: $80 - $90/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
β’ Solution Design: Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring, ensuring scalability and performance.
β’ Technology Selection: Evaluate and select appropriate AI frameworks, tools, and cloud services (e.g., AWS SageMaker, Azure AI, Client Cloud AI) based on project requirements.
β’ Generative AI Implementation: Design solutions using large language models (LLMs) and RAG architectures for applications like content generation, customer engagement, or product design.
β’ Collaboration: Work with data scientists, engineers, product managers, and executives to translate business needs into technical solutions, acting as a trusted advisor.
β’ Governance and Ethics: Implement responsible AI practices, addressing bias, security, and compliance in AI systems.
β’ MLOps and AIOps: Establish CI/CD pipelines, model versioning, and monitoring frameworks to operationalize AI solutions.
β’ Thought Leadership: Advocate for AI-driven innovation, mentor teams, and communicate technical concepts to non-technical stakeholders.
β’ Performance Optimization: Ensure AI solutions meet latency, cost, and quality requirements, optimizing for production environments.
Key Requirements and Technology Experience:
β’ Key skills; AI/ML, MLOps
β’ TensorFlow, PyTorch, Hugging Face, or Scikit-learn
β’ Prompt engineering, fine-tuning, and RAG.
β’ Technical Skills:
β’ Proficiency in Python, R, or Julia for AI/ML development.
β’ Expertise in ML frameworks like TensorFlow, PyTorch, Hugging Face, or Scikit-learn.
β’ Experience with cloud platforms (AWS, Azure, Client Cloud) and AI services like Amazon Bedrock or Azure AI Foundry.
β’ Knowledge of MLOps tools (e.g., Kubeflow, MLflow) and CI/CD pipelines.
β’ Familiarity with generative AI techniques, including prompt engineering, fine-tuning, and RAG.
β’ Understanding of data engineering concepts, including ETL processes and data lakes.
β’ Soft Skills:
β’ Strong communication to bridge technical and business teams.
β’ Analytical thinking for evaluating trade-offs and designing optimal solutions.
β’ Leadership and mentorship to guide cross-functional teams.
β’ Domain Knowledge:
β’ Experience in industries like healthcare, finance, or technology, with an understanding of relevant use cases (e.g., drug discovery, personalized marketing).
β’ Certifications
β’ AWS Certified Machine Learning Specialty
β’ Microsoft Azure AI Engineer Associate
β’ Client Cloud Professional Machine Learning Engineer
β’ Coursera or Edureka AI/ML certifications (e.g., DeepLearning.AI s Generative AI Specialization)
β’ ITIL or TOGAF for enterprise architecture alignment (optional)
β’ Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
β’ 8+ years of experience in ML engineering, data science, or software architecture, with 3+ years in AI/ML solution design.
β’ Proven track record of deploying AI solutions in production environments.
Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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