AI Solution Architect :: Preferred from PST time zone

AI Solution Architect :: Preferred from PST time zone

Posted 4 days ago by 1754040458

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Negotiable
Outside
Remote
USA
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Agile Methodology Algorithms Amazon Web Services (AWS) Apache Hadoop Apache Kafka Apache Spark Artificial Intelligence AWS Certified Machine Learning Specialty Big Data Cloud Computing Cloud Technology Computer Science Computer Vision Continuous Integration Continuous Integration and Continuous Delivery Data Governance Data Quality Data Science Data Security Deep Learning Generic Programming Google Cloud Google Cloud Certification - Professional Google Cloud Platform (GCP) Java (Programming Language) Machine Learning Microsoft Azure Natural Language Processing Python (Programming Language) Reinforcement Learning Software Development Solution Architecture Stakeholder Management

Summary: The AI Solution Architect role requires a professional with a strong background in computer science and extensive experience in designing and implementing AI/ML solutions within enterprise environments. The position emphasizes expertise in machine learning pipelines, cloud AI/ML services, and collaboration across diverse teams. Candidates should possess both technical and interpersonal skills to effectively influence and work with various stakeholders. The role is open to candidates from the PST time zone and offers remote flexibility or a California-based option.

Key Responsibilities:

  • Design and implement AI/ML solutions in an enterprise environment.
  • Develop end-to-end machine learning pipelines.
  • Utilize various AI/ML techniques and algorithms.
  • Leverage cloud platforms' AI/ML services.
  • Apply MLOps principles for model integration and monitoring.
  • Ensure data governance, quality, and security.
  • Collaborate effectively with diverse teams.

Key Skills:

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • Experience in solution architecture and AI/ML implementations.
  • Proficiency in programming languages like Python, R, or Java.
  • Hands-on experience with major cloud platforms (AWS, Azure, Google Cloud).
  • Understanding of data governance and security principles.
  • Strong problem-solving and analytical skills.
  • Excellent communication and interpersonal skills.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related quantitative field.
  • [X+] years of experience in solution architecture, with at least [Y+] years specifically focused on designing and implementing AI/ML solutions in an enterprise environment.
  • Proven expertise in designing and deploying end-to-end machine learning pipelines.
  • Strong understanding of various AI/ML techniques and algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning, NLP, computer vision).
  • Hands-on experience with at least one major cloud platform's AI/ML services (AWS, Azure, Google Cloud Platform).
  • Proficiency in programming languages commonly used in AI/ML (e.g., Python, R, Java).
  • Familiarity with MLOps principles and tools for continuous integration, deployment, and monitoring of ML models.
  • Solid understanding of data governance, data quality, and data security principles.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively across diverse teams.

Preferred Qualifications:

  • Experience with Generative AI models (LLMs, diffusion models) and related frameworks (e.g., LangChain, LlamaIndex).
  • Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
  • Certifications in relevant cloud AI/ML platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer).
  • Experience with agile development methodologies
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