Please do not share profiles that are not relevant to the requirement. We are strictly looking for Bay Area candidates with the required experience and certifications.
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Role: AI/ML Architect (Locals Only – SFO Bay Area, CA)
Location: San Francisco Bay Area, CA (Hybrid – 2–3 days onsite)
Experience: 10–15 Years
Job Type: Contract/W2
Duration: Long Term
Rate (C2C): $90/hr
⚠️ Candidates must be local to the San Francisco Bay Area and available for hybrid onsite work. Non-local profiles will not be considered.
Candidates must have strong experience in customer segmentation using data science and machine learning techniques
Role Summary
RelantoAI is seeking a highly experienced, hands-on AI/ML Architect to design, build, and scale production-grade AI and ML solutions for enterprise clients. This role will own end-to-end AI/ML architecture, collaborate with cross-functional teams, and drive scalable ML platform implementations.
Key Responsibilities
- Architect and design end-to-end AI/ML and Generative AI solutions
- Build scalable ML platforms and define MLOps frameworks (training, deployment, monitoring, governance)
- Lead customer segmentation and advanced analytics initiatives using ML models
- Collaborate with data engineering teams on pipelines, feature stores, and data quality frameworks
- Translate business use cases into AI/ML system architecture
- Deploy ML models into production with monitoring, drift detection, and performance tracking
- Provide technical leadership, conduct architectural reviews, and mentor engineering teams
- Work directly with client stakeholders in a consulting-facing environment
Required Qualifications
- 10+ years of experience in software, data, or ML engineering
- 5+ years of AI/ML architecture experience
- Strong hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn, etc.)
- Proven experience deploying ML models into production environments
- Solid expertise in MLOps practices and data engineering fundamentals
- Experience with GCP
- Strong experience in customer segmentation using data science and machine learning techniques
- Generative AI, LLMs, RAG architectures, and vector databases
- Strong communication and stakeholder management skills
- Experience in enterprise consulting environments
- Exposure to large-scale data platforms and distributed processing systems
- Experience designing AI governance and responsible AI frameworks
Looking forward to qualified local submissions only.
Thanks & Regards,
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