AI Solution Architect :: Preferred from PST time zone
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, GCP).
- 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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