Applied AI Solutions Architect

Overview

Remote
$80 - $90
Contract - W2
Contract - 06 Month(s)

Skills

AI/ML
MLOps
TensorFlow
PyTorch
Hugging Face
Scikit-learn
Prompt engineering
fine-tuning
RAG
Python
R
Julia

Job Details

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:

  • Solution Design: Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring, ensuring scalability and performance.
  • 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.
  • Generative AI Implementation: Design solutions using large language models (LLMs) and RAG architectures for applications like content generation, customer engagement, or product design.
  • Collaboration: Work with data scientists, engineers, product managers, and executives to translate business needs into technical solutions, acting as a trusted advisor.
  • Governance and Ethics: Implement responsible AI practices, addressing bias, security, and compliance in AI systems.
  • MLOps and AIOps: Establish CI/CD pipelines, model versioning, and monitoring frameworks to operationalize AI solutions.
  • Thought Leadership: Advocate for AI-driven innovation, mentor teams, and communicate technical concepts to non-technical stakeholders.
  • Performance Optimization: Ensure AI solutions meet latency, cost, and quality requirements, optimizing for production environments.

Key Requirements and Technology Experience:

  • Key skills; AI/ML, MLOps
  • TensorFlow, PyTorch, Hugging Face, or Scikit-learn
  • Prompt engineering, fine-tuning, and RAG.
  • Technical Skills:
  • Proficiency in Python, R, or Julia for AI/ML development.
  • Expertise in ML frameworks like TensorFlow, PyTorch, Hugging Face, or Scikit-learn.
  • Experience with cloud platforms (AWS, Azure, Client Cloud) and AI services like Amazon Bedrock or Azure AI Foundry.
  • Knowledge of MLOps tools (e.g., Kubeflow, MLflow) and CI/CD pipelines.
  • Familiarity with generative AI techniques, including prompt engineering, fine-tuning, and RAG.
  • Understanding of data engineering concepts, including ETL processes and data lakes.
  • Soft Skills:
  • Strong communication to bridge technical and business teams.
  • Analytical thinking for evaluating trade-offs and designing optimal solutions.
  • Leadership and mentorship to guide cross-functional teams.
  • Domain Knowledge:
  • Experience in industries like healthcare, finance, or technology, with an understanding of relevant use cases (e.g., drug discovery, personalized marketing).
  • Certifications
  • AWS Certified Machine Learning Specialty
  • Microsoft Azure AI Engineer Associate
  • Client Cloud Professional Machine Learning Engineer
  • Coursera or Edureka AI/ML certifications (e.g., DeepLearning.AI s Generative AI Specialization)
  • ITIL or TOGAF for enterprise architecture alignment (optional)
  • Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
  • 8+ years of experience in ML engineering, data science, or software architecture, with 3+ years in AI/ML solution design.
  • 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.

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